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You searched for subject:(Temporal Feature). Showing records 1 – 23 of 23 total matches.

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Uppsala University

1. Wrede, Fredrik. An Explorative Parameter Sweep: Spatial-temporal Data Mining in Stochastic Reaction-diffusion Simulations.

Degree: Biology Education Centre, 2016, Uppsala University

  Stochastic reaction-diffusion simulations has become an efficient approach for modelling spatial aspects of intracellular biochemical reaction networks. By accounting for intrinsic noise due to… (more)

Subjects/Keywords: Big data; feature extraction; clustering; stochastic reaction-diffusion simulation; spatial-temporal; data mining; cloud computing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wrede, F. (2016). An Explorative Parameter Sweep: Spatial-temporal Data Mining in Stochastic Reaction-diffusion Simulations. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280287

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wrede, Fredrik. “An Explorative Parameter Sweep: Spatial-temporal Data Mining in Stochastic Reaction-diffusion Simulations.” 2016. Thesis, Uppsala University. Accessed October 20, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280287.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wrede, Fredrik. “An Explorative Parameter Sweep: Spatial-temporal Data Mining in Stochastic Reaction-diffusion Simulations.” 2016. Web. 20 Oct 2019.

Vancouver:

Wrede F. An Explorative Parameter Sweep: Spatial-temporal Data Mining in Stochastic Reaction-diffusion Simulations. [Internet] [Thesis]. Uppsala University; 2016. [cited 2019 Oct 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280287.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wrede F. An Explorative Parameter Sweep: Spatial-temporal Data Mining in Stochastic Reaction-diffusion Simulations. [Thesis]. Uppsala University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280287

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rochester Institute of Technology

2. Mnatzaganian, James W. A Mathematical Formalization of Hierarchical Temporal Memory's Spatial Pooler for use in Machine Learning.

Degree: MS, Computer Engineering, 2016, Rochester Institute of Technology

  Hierarchical temporal memory (HTM) is an emerging machine learning algorithm, with the potential to provide a means to perform predictions on spatiotemporal data. The… (more)

Subjects/Keywords: Hierarchical temporal memory; Machine learning; Neural networks; Self-organizing feature maps; Spatial pooler; Unsupervised learning

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APA (6th Edition):

Mnatzaganian, J. W. (2016). A Mathematical Formalization of Hierarchical Temporal Memory's Spatial Pooler for use in Machine Learning. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9012

Chicago Manual of Style (16th Edition):

Mnatzaganian, James W. “A Mathematical Formalization of Hierarchical Temporal Memory's Spatial Pooler for use in Machine Learning.” 2016. Masters Thesis, Rochester Institute of Technology. Accessed October 20, 2019. https://scholarworks.rit.edu/theses/9012.

MLA Handbook (7th Edition):

Mnatzaganian, James W. “A Mathematical Formalization of Hierarchical Temporal Memory's Spatial Pooler for use in Machine Learning.” 2016. Web. 20 Oct 2019.

Vancouver:

Mnatzaganian JW. A Mathematical Formalization of Hierarchical Temporal Memory's Spatial Pooler for use in Machine Learning. [Internet] [Masters thesis]. Rochester Institute of Technology; 2016. [cited 2019 Oct 20]. Available from: https://scholarworks.rit.edu/theses/9012.

Council of Science Editors:

Mnatzaganian JW. A Mathematical Formalization of Hierarchical Temporal Memory's Spatial Pooler for use in Machine Learning. [Masters Thesis]. Rochester Institute of Technology; 2016. Available from: https://scholarworks.rit.edu/theses/9012

3. Muddamsetty, Satya Mahesh. Modèles d'attention visuelle pour l'analyse de scènes dynamiques : Spatio-temporal saliency detection in dynamic scenes using color and texture features.

Degree: Docteur es, Instrumentation et informatique de l'image, 2014, Université de Bourgogne

De nombreuses applications de la vision par ordinateur requièrent la détection, la localisation et le suivi de régions ou d’objets d’intérêt dans une image ou… (more)

Subjects/Keywords: Modèles d'attention visuelle; Spatio-temporal saliency; Dynamic textures; Color feature; Complex dynamic scenes; Fusion; Performance evalutation; 006.4

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APA (6th Edition):

Muddamsetty, S. M. (2014). Modèles d'attention visuelle pour l'analyse de scènes dynamiques : Spatio-temporal saliency detection in dynamic scenes using color and texture features. (Doctoral Dissertation). Université de Bourgogne. Retrieved from http://www.theses.fr/2014DIJOS067

Chicago Manual of Style (16th Edition):

Muddamsetty, Satya Mahesh. “Modèles d'attention visuelle pour l'analyse de scènes dynamiques : Spatio-temporal saliency detection in dynamic scenes using color and texture features.” 2014. Doctoral Dissertation, Université de Bourgogne. Accessed October 20, 2019. http://www.theses.fr/2014DIJOS067.

MLA Handbook (7th Edition):

Muddamsetty, Satya Mahesh. “Modèles d'attention visuelle pour l'analyse de scènes dynamiques : Spatio-temporal saliency detection in dynamic scenes using color and texture features.” 2014. Web. 20 Oct 2019.

Vancouver:

Muddamsetty SM. Modèles d'attention visuelle pour l'analyse de scènes dynamiques : Spatio-temporal saliency detection in dynamic scenes using color and texture features. [Internet] [Doctoral dissertation]. Université de Bourgogne; 2014. [cited 2019 Oct 20]. Available from: http://www.theses.fr/2014DIJOS067.

Council of Science Editors:

Muddamsetty SM. Modèles d'attention visuelle pour l'analyse de scènes dynamiques : Spatio-temporal saliency detection in dynamic scenes using color and texture features. [Doctoral Dissertation]. Université de Bourgogne; 2014. Available from: http://www.theses.fr/2014DIJOS067

4. Luo, Guoliang. Segmentation de maillages dynamiques et son application pour le calcul de similarité : Segmentation methods for deforming meshes and its application to similarity measurement.

Degree: Docteur es, Informatique, 2014, Université de Strasbourg

Avec le développement important des techniques d’animation, les maillages animés sont devenus un sujet de recherche important en informatique graphique, comme la segmentation de maillages… (more)

Subjects/Keywords: Maillage animé; Maillage dynamique; Calcul de similarité; Segmentation spatio-temporelle; Deforming meshes; Dynamic feature descriptor; Temporal segmentation; Spatio-temporal segmentation; Motion similarity measurement; 006.6; 518

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APA (6th Edition):

Luo, G. (2014). Segmentation de maillages dynamiques et son application pour le calcul de similarité : Segmentation methods for deforming meshes and its application to similarity measurement. (Doctoral Dissertation). Université de Strasbourg. Retrieved from http://www.theses.fr/2014STRAD026

Chicago Manual of Style (16th Edition):

Luo, Guoliang. “Segmentation de maillages dynamiques et son application pour le calcul de similarité : Segmentation methods for deforming meshes and its application to similarity measurement.” 2014. Doctoral Dissertation, Université de Strasbourg. Accessed October 20, 2019. http://www.theses.fr/2014STRAD026.

MLA Handbook (7th Edition):

Luo, Guoliang. “Segmentation de maillages dynamiques et son application pour le calcul de similarité : Segmentation methods for deforming meshes and its application to similarity measurement.” 2014. Web. 20 Oct 2019.

Vancouver:

Luo G. Segmentation de maillages dynamiques et son application pour le calcul de similarité : Segmentation methods for deforming meshes and its application to similarity measurement. [Internet] [Doctoral dissertation]. Université de Strasbourg; 2014. [cited 2019 Oct 20]. Available from: http://www.theses.fr/2014STRAD026.

Council of Science Editors:

Luo G. Segmentation de maillages dynamiques et son application pour le calcul de similarité : Segmentation methods for deforming meshes and its application to similarity measurement. [Doctoral Dissertation]. Université de Strasbourg; 2014. Available from: http://www.theses.fr/2014STRAD026


NSYSU

5. Chang, Yu-Hsiu. Discovery of Evolution Patterns from Sequences of Documents.

Degree: Master, Information Management, 2001, NSYSU

 Due to the ever-increasing volume of textual documents, text mining is a rapidly growing application of knowledge discovery in databases. Past text mining techniques predominately… (more)

Subjects/Keywords: Feature Extraction; Feature Selection; Document Clustering; Frequent Temporal Patterns; Feature-Based Evolution Patterns; Text Mining

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APA (6th Edition):

Chang, Y. (2001). Discovery of Evolution Patterns from Sequences of Documents. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806101-111117

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chang, Yu-Hsiu. “Discovery of Evolution Patterns from Sequences of Documents.” 2001. Thesis, NSYSU. Accessed October 20, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806101-111117.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chang, Yu-Hsiu. “Discovery of Evolution Patterns from Sequences of Documents.” 2001. Web. 20 Oct 2019.

Vancouver:

Chang Y. Discovery of Evolution Patterns from Sequences of Documents. [Internet] [Thesis]. NSYSU; 2001. [cited 2019 Oct 20]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806101-111117.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chang Y. Discovery of Evolution Patterns from Sequences of Documents. [Thesis]. NSYSU; 2001. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806101-111117

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade Presbiteriana Mackenzie

6. Sandro Luiz das Chagas. Classificação de sinais de eletroencefalograma usando máquinas de vetores suporte.

Degree: 2009, Universidade Presbiteriana Mackenzie

O eletroencefalograma (EEG) é um exame médico largamente utilizado no estudo da função cerebral e de distúrbios neurológicos. O EEG é uma série temporal que… (more)

Subjects/Keywords: ENGENHARIA ELETRICA; máquina de vetor de suporte (SVM); eletroencefalograma (EEG); séries temporais; extração de características; wavelet; support vector machine (SVM); eletroencefalogram (EEG); temporal data series; feature extraction; wavelet

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APA (6th Edition):

Chagas, S. L. d. (2009). Classificação de sinais de eletroencefalograma usando máquinas de vetores suporte. (Thesis). Universidade Presbiteriana Mackenzie. Retrieved from http://tede.mackenzie.com.br//tde_busca/arquivo.php?codArquivo=1665

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chagas, Sandro Luiz das. “Classificação de sinais de eletroencefalograma usando máquinas de vetores suporte.” 2009. Thesis, Universidade Presbiteriana Mackenzie. Accessed October 20, 2019. http://tede.mackenzie.com.br//tde_busca/arquivo.php?codArquivo=1665.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chagas, Sandro Luiz das. “Classificação de sinais de eletroencefalograma usando máquinas de vetores suporte.” 2009. Web. 20 Oct 2019.

Vancouver:

Chagas SLd. Classificação de sinais de eletroencefalograma usando máquinas de vetores suporte. [Internet] [Thesis]. Universidade Presbiteriana Mackenzie; 2009. [cited 2019 Oct 20]. Available from: http://tede.mackenzie.com.br//tde_busca/arquivo.php?codArquivo=1665.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chagas SLd. Classificação de sinais de eletroencefalograma usando máquinas de vetores suporte. [Thesis]. Universidade Presbiteriana Mackenzie; 2009. Available from: http://tede.mackenzie.com.br//tde_busca/arquivo.php?codArquivo=1665

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


RMIT University

7. Shaikh, A. Robust visual speech recognition using optical flow analysis and rotation invariant features.

Degree: 2011, RMIT University

 The focus of this thesis is to develop computer vision algorithms for visual speech recognition system to identify the visemes. The majority of existing speech… (more)

Subjects/Keywords: Fields of Research; Lip-reading; visual speech recognition; Speech reading; visual feature extraction; temporal speech segmentation; classification of visual features; Support Vector Machines

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APA (6th Edition):

Shaikh, A. (2011). Robust visual speech recognition using optical flow analysis and rotation invariant features. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:160103

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shaikh, A. “Robust visual speech recognition using optical flow analysis and rotation invariant features.” 2011. Thesis, RMIT University. Accessed October 20, 2019. http://researchbank.rmit.edu.au/view/rmit:160103.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shaikh, A. “Robust visual speech recognition using optical flow analysis and rotation invariant features.” 2011. Web. 20 Oct 2019.

Vancouver:

Shaikh A. Robust visual speech recognition using optical flow analysis and rotation invariant features. [Internet] [Thesis]. RMIT University; 2011. [cited 2019 Oct 20]. Available from: http://researchbank.rmit.edu.au/view/rmit:160103.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shaikh A. Robust visual speech recognition using optical flow analysis and rotation invariant features. [Thesis]. RMIT University; 2011. Available from: http://researchbank.rmit.edu.au/view/rmit:160103

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Ramos, Daniel. A linguistically-motivated speaker recognition front-end through session variability compensated cepstral trajectories in phone units.

Degree: 2018, IEEE

Subjects/Keywords: Speaker recognition; Linguistic units; Temporal trajectories; Session variability; Feature compensation; Telecomunicaciones

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APA (6th Edition):

Ramos, D. (2018). A linguistically-motivated speaker recognition front-end through session variability compensated cepstral trajectories in phone units. (Thesis). IEEE. Retrieved from http://hdl.handle.net/10486/664867

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ramos, Daniel. “A linguistically-motivated speaker recognition front-end through session variability compensated cepstral trajectories in phone units.” 2018. Thesis, IEEE. Accessed October 20, 2019. http://hdl.handle.net/10486/664867.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ramos, Daniel. “A linguistically-motivated speaker recognition front-end through session variability compensated cepstral trajectories in phone units.” 2018. Web. 20 Oct 2019.

Vancouver:

Ramos D. A linguistically-motivated speaker recognition front-end through session variability compensated cepstral trajectories in phone units. [Internet] [Thesis]. IEEE; 2018. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10486/664867.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ramos D. A linguistically-motivated speaker recognition front-end through session variability compensated cepstral trajectories in phone units. [Thesis]. IEEE; 2018. Available from: http://hdl.handle.net/10486/664867

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. Kacem Sahraoui, Ameni. Personalized information retrieval based on time-sensitive user profile : Recherche d'information personnalisée basée sur un profil utilisateur sensible au temps.

Degree: Docteur es, Image, information, hypermedia, 2017, Université Toulouse III – Paul Sabatier

Les moteurs de recherche, largement utilisés dans différents domaines, sont devenus la principale source d'information pour de nombreux utilisateurs. Cependant, les Systèmes de Recherche d'Information… (more)

Subjects/Keywords: Recherche personnalisée; Session de recherche; Profil utilisateur; Médias sociaux; Fraîcheur; Facteur temporel; Personalized Information Retrieval; User Profile; Freshness; Temporal Feature; Session Search; Social Media

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APA (6th Edition):

Kacem Sahraoui, A. (2017). Personalized information retrieval based on time-sensitive user profile : Recherche d'information personnalisée basée sur un profil utilisateur sensible au temps. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2017TOU30111

Chicago Manual of Style (16th Edition):

Kacem Sahraoui, Ameni. “Personalized information retrieval based on time-sensitive user profile : Recherche d'information personnalisée basée sur un profil utilisateur sensible au temps.” 2017. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed October 20, 2019. http://www.theses.fr/2017TOU30111.

MLA Handbook (7th Edition):

Kacem Sahraoui, Ameni. “Personalized information retrieval based on time-sensitive user profile : Recherche d'information personnalisée basée sur un profil utilisateur sensible au temps.” 2017. Web. 20 Oct 2019.

Vancouver:

Kacem Sahraoui A. Personalized information retrieval based on time-sensitive user profile : Recherche d'information personnalisée basée sur un profil utilisateur sensible au temps. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2017. [cited 2019 Oct 20]. Available from: http://www.theses.fr/2017TOU30111.

Council of Science Editors:

Kacem Sahraoui A. Personalized information retrieval based on time-sensitive user profile : Recherche d'information personnalisée basée sur un profil utilisateur sensible au temps. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2017. Available from: http://www.theses.fr/2017TOU30111

10. Mora, Omar Ernesto. Morphology-Based Identification of Surface Features to Support Landslide Hazard Detection Using Airborne LiDAR Data.

Degree: PhD, Civil Engineering, 2015, The Ohio State University

 Landslides are natural disasters that cause environmental and infrastructure damage worldwide. In order to reduce future risk posed by them, effective detection and monitoring methods… (more)

Subjects/Keywords: Civil Engineering; Multi-temporal; LiDAR; landslide; change detection; DEM; feature extraction; SVM

…5 1.2.2 Surface Feature Extraction State-of-the-Art… …32 Chapter 2 Surface Feature Extraction Techniques… …94 4.1 Landslide Detection Based on Surface Feature Extraction… …105 4.2 Landslide Detection Based on Temporal Changes… …146 5.2.2 Surface Feature Extraction… 

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APA (6th Edition):

Mora, O. E. (2015). Morphology-Based Identification of Surface Features to Support Landslide Hazard Detection Using Airborne LiDAR Data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1429861576

Chicago Manual of Style (16th Edition):

Mora, Omar Ernesto. “Morphology-Based Identification of Surface Features to Support Landslide Hazard Detection Using Airborne LiDAR Data.” 2015. Doctoral Dissertation, The Ohio State University. Accessed October 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429861576.

MLA Handbook (7th Edition):

Mora, Omar Ernesto. “Morphology-Based Identification of Surface Features to Support Landslide Hazard Detection Using Airborne LiDAR Data.” 2015. Web. 20 Oct 2019.

Vancouver:

Mora OE. Morphology-Based Identification of Surface Features to Support Landslide Hazard Detection Using Airborne LiDAR Data. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2019 Oct 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1429861576.

Council of Science Editors:

Mora OE. Morphology-Based Identification of Surface Features to Support Landslide Hazard Detection Using Airborne LiDAR Data. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1429861576

11. Siritanawan, Prarinya. 顔画像シーケンスを用いた表情遷移特徴解析による感情推定に関する研究.

Degree: 博士(情報科学), 2015, Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学

Supervisor:小谷 一孔

情報科学研究科

博士

Subjects/Keywords: Facial expression analysis; Emotion; Robust temporal feature; Facial Action Coding System; Human Machine Interaction

Page 1 Page 2

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APA (6th Edition):

Siritanawan, P. (2015). 顔画像シーケンスを用いた表情遷移特徴解析による感情推定に関する研究. (Thesis). Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10119/13009

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Siritanawan, Prarinya. “顔画像シーケンスを用いた表情遷移特徴解析による感情推定に関する研究.” 2015. Thesis, Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Accessed October 20, 2019. http://hdl.handle.net/10119/13009.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Siritanawan, Prarinya. “顔画像シーケンスを用いた表情遷移特徴解析による感情推定に関する研究.” 2015. Web. 20 Oct 2019.

Vancouver:

Siritanawan P. 顔画像シーケンスを用いた表情遷移特徴解析による感情推定に関する研究. [Internet] [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; 2015. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10119/13009.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Siritanawan P. 顔画像シーケンスを用いた表情遷移特徴解析による感情推定に関する研究. [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; 2015. Available from: http://hdl.handle.net/10119/13009

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Si, Weiping. A Statistics-based Framework for Bus Travel Time Prediction.

Degree: MS, Computer Science, 2012, Penn State University

 In this paper, we develop a statistics-based bus travel time prediction framework, called Historical Trajectory based Travel/Arrival Time Prediction (HTTP) for real-time prediction of travel… (more)

Subjects/Keywords: Historical Trajectory; Travel Time Prediction; similar trajectory; passed segments; temporal feature

…days, we also use the K-Modes algorithm to partition the hours/days feature space… …the hybrid temporal features/passed segments (HTP) achieves the best performance… …can associate the travel times to a timely feature. Similarly, the travel times of a same… …vehicles in rush hours. Limited by data sources, we are not able to explore every feature. In… …temporal features such as hours and days. Therefore, we follow these observations to introduce… 

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APA (6th Edition):

Si, W. (2012). A Statistics-based Framework for Bus Travel Time Prediction. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/15369

Chicago Manual of Style (16th Edition):

Si, Weiping. “A Statistics-based Framework for Bus Travel Time Prediction.” 2012. Masters Thesis, Penn State University. Accessed October 20, 2019. https://etda.libraries.psu.edu/catalog/15369.

MLA Handbook (7th Edition):

Si, Weiping. “A Statistics-based Framework for Bus Travel Time Prediction.” 2012. Web. 20 Oct 2019.

Vancouver:

Si W. A Statistics-based Framework for Bus Travel Time Prediction. [Internet] [Masters thesis]. Penn State University; 2012. [cited 2019 Oct 20]. Available from: https://etda.libraries.psu.edu/catalog/15369.

Council of Science Editors:

Si W. A Statistics-based Framework for Bus Travel Time Prediction. [Masters Thesis]. Penn State University; 2012. Available from: https://etda.libraries.psu.edu/catalog/15369

13. YUAN JUNSONG. Robust short clip representation and fast search through large video collections.

Degree: 2005, National University of Singapore

Subjects/Keywords: video similarity search; video copy detection; video database; video clip representation; spatial-temporal feature

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APA (6th Edition):

JUNSONG, Y. (2005). Robust short clip representation and fast search through large video collections. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/14908

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

JUNSONG, YUAN. “Robust short clip representation and fast search through large video collections.” 2005. Thesis, National University of Singapore. Accessed October 20, 2019. http://scholarbank.nus.edu.sg/handle/10635/14908.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

JUNSONG, YUAN. “Robust short clip representation and fast search through large video collections.” 2005. Web. 20 Oct 2019.

Vancouver:

JUNSONG Y. Robust short clip representation and fast search through large video collections. [Internet] [Thesis]. National University of Singapore; 2005. [cited 2019 Oct 20]. Available from: http://scholarbank.nus.edu.sg/handle/10635/14908.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

JUNSONG Y. Robust short clip representation and fast search through large video collections. [Thesis]. National University of Singapore; 2005. Available from: http://scholarbank.nus.edu.sg/handle/10635/14908

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Loughborough University

14. Romanenko, Ilya. Novel image processing algorithms and methods for improving their robustness and operational performance.

Degree: PhD, 2014, Loughborough University

 Image processing algorithms have developed rapidly in recent years. Imaging functions are becoming more common in electronic devices, demanding better image quality, and more robust… (more)

Subjects/Keywords: 006.3; De-noising; Image processing; Sensor noise; Bayer RAW; Non-local means; FPGA; Real time; Spatial-temporal noise reduction; Optical flow; Motion compensation; HDR; Image data matching; WDR; Image features matching; Feature vector extraction; Object detection

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APA (6th Edition):

Romanenko, I. (2014). Novel image processing algorithms and methods for improving their robustness and operational performance. (Doctoral Dissertation). Loughborough University. Retrieved from https://dspace.lboro.ac.uk/2134/16340 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.727680

Chicago Manual of Style (16th Edition):

Romanenko, Ilya. “Novel image processing algorithms and methods for improving their robustness and operational performance.” 2014. Doctoral Dissertation, Loughborough University. Accessed October 20, 2019. https://dspace.lboro.ac.uk/2134/16340 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.727680.

MLA Handbook (7th Edition):

Romanenko, Ilya. “Novel image processing algorithms and methods for improving their robustness and operational performance.” 2014. Web. 20 Oct 2019.

Vancouver:

Romanenko I. Novel image processing algorithms and methods for improving their robustness and operational performance. [Internet] [Doctoral dissertation]. Loughborough University; 2014. [cited 2019 Oct 20]. Available from: https://dspace.lboro.ac.uk/2134/16340 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.727680.

Council of Science Editors:

Romanenko I. Novel image processing algorithms and methods for improving their robustness and operational performance. [Doctoral Dissertation]. Loughborough University; 2014. Available from: https://dspace.lboro.ac.uk/2134/16340 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.727680


Loughborough University

15. Romanenko, Ilya. Novel image processing algorithms and methods for improving their robustness and operational performance.

Degree: PhD, 2014, Loughborough University

 Image processing algorithms have developed rapidly in recent years. Imaging functions are becoming more common in electronic devices, demanding better image quality, and more robust… (more)

Subjects/Keywords: 006.3; De-noising; Image processing; Sensor noise; Bayer RAW; Non-local means; FPGA; Real time; Spatial-temporal noise reduction; Optical flow; Motion compensation; HDR; Image data matching; WDR; Image features matching; Feature vector extraction; Object detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Romanenko, I. (2014). Novel image processing algorithms and methods for improving their robustness and operational performance. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/16340

Chicago Manual of Style (16th Edition):

Romanenko, Ilya. “Novel image processing algorithms and methods for improving their robustness and operational performance.” 2014. Doctoral Dissertation, Loughborough University. Accessed October 20, 2019. http://hdl.handle.net/2134/16340.

MLA Handbook (7th Edition):

Romanenko, Ilya. “Novel image processing algorithms and methods for improving their robustness and operational performance.” 2014. Web. 20 Oct 2019.

Vancouver:

Romanenko I. Novel image processing algorithms and methods for improving their robustness and operational performance. [Internet] [Doctoral dissertation]. Loughborough University; 2014. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/2134/16340.

Council of Science Editors:

Romanenko I. Novel image processing algorithms and methods for improving their robustness and operational performance. [Doctoral Dissertation]. Loughborough University; 2014. Available from: http://hdl.handle.net/2134/16340


University of Queensland

16. Afzal Maken, Fahira. Multiple Instance Learning for Breast Cancer Magnetic Resonance Imaging.

Degree: School of Information Technology and Electrical Engineering, 2015, University of Queensland

Subjects/Keywords: Multiple instance learning; Breast MRI; Feature extraction; DCT; Feature selection; Classification; T2-weighted; DCE-MRI; Tile-based spatio-temporal features; 0801 Artificial Intelligence and Image Processing; 0903 Biomedical Engineering

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APA (6th Edition):

Afzal Maken, F. (2015). Multiple Instance Learning for Breast Cancer Magnetic Resonance Imaging. (Thesis). University of Queensland. Retrieved from http://espace.library.uq.edu.au/view/UQ:371465

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Afzal Maken, Fahira. “Multiple Instance Learning for Breast Cancer Magnetic Resonance Imaging.” 2015. Thesis, University of Queensland. Accessed October 20, 2019. http://espace.library.uq.edu.au/view/UQ:371465.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Afzal Maken, Fahira. “Multiple Instance Learning for Breast Cancer Magnetic Resonance Imaging.” 2015. Web. 20 Oct 2019.

Vancouver:

Afzal Maken F. Multiple Instance Learning for Breast Cancer Magnetic Resonance Imaging. [Internet] [Thesis]. University of Queensland; 2015. [cited 2019 Oct 20]. Available from: http://espace.library.uq.edu.au/view/UQ:371465.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Afzal Maken F. Multiple Instance Learning for Breast Cancer Magnetic Resonance Imaging. [Thesis]. University of Queensland; 2015. Available from: http://espace.library.uq.edu.au/view/UQ:371465

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

17. Allan, Chris M. Acoustic Signal Encoding in Children with Auditory Processing Disorders.

Degree: 2011, University of Western Ontario

 Auditory perception has been shown to be a problem for some children with diagnosed learning, language, reading, or attention disorders. Evaluation of discrimination abilities, as… (more)

Subjects/Keywords: auditory processing disorder; (central) auditory processing; psychoacoustics; signal feature encoding; discrimination; temporal processing; spectral processing; children; Communication Sciences and Disorders

temporal feature encoding. Elevated frequency discrimination thresholds have been observed in… …difficulty with temporal feature encoding. Since publication of this study, the ability of language… …27 2.5 Evaluation of acoustic signal feature encoding… …73 6 Temporal Resolution as measured by gap detection thresholds… …89 7 Temporal Integration… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Allan, C. M. (2011). Acoustic Signal Encoding in Children with Auditory Processing Disorders. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/362

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Allan, Chris M. “Acoustic Signal Encoding in Children with Auditory Processing Disorders.” 2011. Thesis, University of Western Ontario. Accessed October 20, 2019. https://ir.lib.uwo.ca/etd/362.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Allan, Chris M. “Acoustic Signal Encoding in Children with Auditory Processing Disorders.” 2011. Web. 20 Oct 2019.

Vancouver:

Allan CM. Acoustic Signal Encoding in Children with Auditory Processing Disorders. [Internet] [Thesis]. University of Western Ontario; 2011. [cited 2019 Oct 20]. Available from: https://ir.lib.uwo.ca/etd/362.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Allan CM. Acoustic Signal Encoding in Children with Auditory Processing Disorders. [Thesis]. University of Western Ontario; 2011. Available from: https://ir.lib.uwo.ca/etd/362

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Queensland University of Technology

18. Wu, Burton. New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry.

Degree: 2011, Queensland University of Technology

 This thesis investigates profiling and differentiating customers through the use of statistical data mining techniques. The business application of our work centres on examining individuals’… (more)

Subjects/Keywords: Gaussian mixture model (GMM), mixture models, probability density estimation, variational bayes (VB), Bayesian statistics, data mining (DM), combinational data analysis (CDA), profiling, segmentation, clustering, feature extraction; behavioural characteristics, consumer behaviour, customer behaviour, consumption behaviour, customer relationship management (CRM), relationship marketing (RM), human mobility pattern, spatial behaviour, temporal behaviour, circular data, data stream; high dimensional data, call detail records (CDR), wireless telecommunication industry

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APA (6th Edition):

Wu, B. (2011). New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/46084/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wu, Burton. “New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry.” 2011. Thesis, Queensland University of Technology. Accessed October 20, 2019. https://eprints.qut.edu.au/46084/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wu, Burton. “New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry.” 2011. Web. 20 Oct 2019.

Vancouver:

Wu B. New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry. [Internet] [Thesis]. Queensland University of Technology; 2011. [cited 2019 Oct 20]. Available from: https://eprints.qut.edu.au/46084/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu B. New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry. [Thesis]. Queensland University of Technology; 2011. Available from: https://eprints.qut.edu.au/46084/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

19. Deshmukh, Shantanu Vijayrao. Study of Online Driver Distraction Analysis using ECG-Dynamics.

Degree: MS, Computer and Information Science, College of Engineering & Computer Science, 2018, University of Michigan

 Majority of the road fatalities occur due to a common cause of human error while driving. Distracted driving is one of the most important contributors… (more)

Subjects/Keywords: Electrocardiogram; Hypo-vigilance; Distracted driving; Driver distraction; Spectral analysis; Feature extraction; Wavelet analysis; Temporal features; Spectral features; Computer science

temporal as well as spectral measures which enrich the relevant information feature set for… …Filter bank approach. 11 Chapter 2 Temporal and Spectral Feature Engineering This chapter… …will cover the temporal and spectral feature extraction technique from raw ECG data starting… …implemented in MATLAB Software. 2.2 Feature Engineering We extracted various temporal as well… …Metadata Category Feature Unit Feature Equation Metadata Temporal AvgHR bpm Average… 

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APA (6th Edition):

Deshmukh, S. V. (2018). Study of Online Driver Distraction Analysis using ECG-Dynamics. (Masters Thesis). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/143177

Chicago Manual of Style (16th Edition):

Deshmukh, Shantanu Vijayrao. “Study of Online Driver Distraction Analysis using ECG-Dynamics.” 2018. Masters Thesis, University of Michigan. Accessed October 20, 2019. http://hdl.handle.net/2027.42/143177.

MLA Handbook (7th Edition):

Deshmukh, Shantanu Vijayrao. “Study of Online Driver Distraction Analysis using ECG-Dynamics.” 2018. Web. 20 Oct 2019.

Vancouver:

Deshmukh SV. Study of Online Driver Distraction Analysis using ECG-Dynamics. [Internet] [Masters thesis]. University of Michigan; 2018. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/2027.42/143177.

Council of Science Editors:

Deshmukh SV. Study of Online Driver Distraction Analysis using ECG-Dynamics. [Masters Thesis]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/143177


Universitetet i Tromsø

20. Jacobsen, Joakim. Feature Detector: a support system for tracking satellite detected dynamic and permanent features .

Degree: 2013, Universitetet i Tromsø

 Even with today's technologies many tasks relies on humans to be completed correctly. Engineers must monitor steps in large chains of operations, and verify the… (more)

Subjects/Keywords: permanent feature filtering; maritime traffic and installations; change detection; remote sensing; vessel detection; tracking of moving features; spatiotemporal databases; spatial filtering; temporal topology; VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation, visualization, signal processing, image processing: 429; VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429

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APA (6th Edition):

Jacobsen, J. (2013). Feature Detector: a support system for tracking satellite detected dynamic and permanent features . (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/5433

Chicago Manual of Style (16th Edition):

Jacobsen, Joakim. “Feature Detector: a support system for tracking satellite detected dynamic and permanent features .” 2013. Masters Thesis, Universitetet i Tromsø. Accessed October 20, 2019. http://hdl.handle.net/10037/5433.

MLA Handbook (7th Edition):

Jacobsen, Joakim. “Feature Detector: a support system for tracking satellite detected dynamic and permanent features .” 2013. Web. 20 Oct 2019.

Vancouver:

Jacobsen J. Feature Detector: a support system for tracking satellite detected dynamic and permanent features . [Internet] [Masters thesis]. Universitetet i Tromsø 2013. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10037/5433.

Council of Science Editors:

Jacobsen J. Feature Detector: a support system for tracking satellite detected dynamic and permanent features . [Masters Thesis]. Universitetet i Tromsø 2013. Available from: http://hdl.handle.net/10037/5433

21. Yang, Yimin. Exploring Hidden Coherent Feature Groups and Temporal Semantics for Multimedia Big Data Analysis.

Degree: PhD, Computer Science, 2015, Florida International University

  Thanks to the advanced technologies and social networks that allow the data to be widely shared among the Internet, there is an explosion of… (more)

Subjects/Keywords: Multimedia data mining; big data; multiple correspondence analysis; multimedia semantic retrieval; temporal analysis; feature analysis; disaster management; Computer and Systems Architecture; Other Computer Engineering; Signal Processing

…detection results. Then, the TMCA algorithm is proposed to efficiently incorporate temporal… …1 1 4 6 7 8 2. RELATED WORK . . . . . . . . . . . . . . . . . . 2.1 Feature Analysis… …2.1.1 Low-Level Feature Correlation Analysis . . . . . 2.1.2 Advanced Feature Representation… …Strategies . . . 2.1.3 Multi-modal Multi-Layer Fusion . . . . . . . . . 2.1.4 Feature Selection… …Content Representation . . . . . . . . . . 3.2 Multimedia Temporal Analysis and Ensemble… 

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APA (6th Edition):

Yang, Y. (2015). Exploring Hidden Coherent Feature Groups and Temporal Semantics for Multimedia Big Data Analysis. (Doctoral Dissertation). Florida International University. Retrieved from http://digitalcommons.fiu.edu/etd/2254 ; 10.25148/etd.FIDC000146 ; FIDC000146

Chicago Manual of Style (16th Edition):

Yang, Yimin. “Exploring Hidden Coherent Feature Groups and Temporal Semantics for Multimedia Big Data Analysis.” 2015. Doctoral Dissertation, Florida International University. Accessed October 20, 2019. http://digitalcommons.fiu.edu/etd/2254 ; 10.25148/etd.FIDC000146 ; FIDC000146.

MLA Handbook (7th Edition):

Yang, Yimin. “Exploring Hidden Coherent Feature Groups and Temporal Semantics for Multimedia Big Data Analysis.” 2015. Web. 20 Oct 2019.

Vancouver:

Yang Y. Exploring Hidden Coherent Feature Groups and Temporal Semantics for Multimedia Big Data Analysis. [Internet] [Doctoral dissertation]. Florida International University; 2015. [cited 2019 Oct 20]. Available from: http://digitalcommons.fiu.edu/etd/2254 ; 10.25148/etd.FIDC000146 ; FIDC000146.

Council of Science Editors:

Yang Y. Exploring Hidden Coherent Feature Groups and Temporal Semantics for Multimedia Big Data Analysis. [Doctoral Dissertation]. Florida International University; 2015. Available from: http://digitalcommons.fiu.edu/etd/2254 ; 10.25148/etd.FIDC000146 ; FIDC000146


Brno University of Technology

22. Matějka, Pavel. FONOTAKTICKÉ A AKUSTICKÉ ROZPOZNÁVÁNÍ JAZYKŮ .

Degree: 2009, Brno University of Technology

 Práce pojednává o fonotaktickém a akustickém přístupu pro automatické rozpoznávání jazyka. První část práce pojednává o fonotaktickém přístupu založeném na výskytu fonémových sekvenci v řeči.… (more)

Subjects/Keywords: rozpoznávání jazyků; identifikace jazyků; fonotaktika; extrakce příznaků; rozpoznávání fonémů; TIMIT; neuronové sítě; časové trajektorie; language recognition; language identification; phonotactics; feature extraction; phone recognition; TIMIT; neural networks; temporal patterns

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APA (6th Edition):

Matějka, P. (2009). FONOTAKTICKÉ A AKUSTICKÉ ROZPOZNÁVÁNÍ JAZYKŮ . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/12818

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Matějka, Pavel. “FONOTAKTICKÉ A AKUSTICKÉ ROZPOZNÁVÁNÍ JAZYKŮ .” 2009. Thesis, Brno University of Technology. Accessed October 20, 2019. http://hdl.handle.net/11012/12818.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Matějka, Pavel. “FONOTAKTICKÉ A AKUSTICKÉ ROZPOZNÁVÁNÍ JAZYKŮ .” 2009. Web. 20 Oct 2019.

Vancouver:

Matějka P. FONOTAKTICKÉ A AKUSTICKÉ ROZPOZNÁVÁNÍ JAZYKŮ . [Internet] [Thesis]. Brno University of Technology; 2009. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/11012/12818.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Matějka P. FONOTAKTICKÉ A AKUSTICKÉ ROZPOZNÁVÁNÍ JAZYKŮ . [Thesis]. Brno University of Technology; 2009. Available from: http://hdl.handle.net/11012/12818

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Australian National University

23. Micklethwait, Guy Roland. Models of Time Travel: a comparative study using films .

Degree: 2012, Australian National University

 This research identifies the way the science of time travel is presented to the public through the medium of feature films, and discovers if this… (more)

Subjects/Keywords: time travel; models of time travel; models of time; films; feature films; movies; philosophy of time; physics of time; psychology of time; guyline diagram; timeline; time-line; scientists; philosophers; filmmakers; the public; Forwards Time Travel; Backwards time travel; temporal paradoxes; chaos theory; parallel worlds; wormholes; time dilation; relativity; special relativity; general relativity; arrow of time; free will; determinism; block universe; growing block universe; nature of time

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APA (6th Edition):

Micklethwait, G. R. (2012). Models of Time Travel: a comparative study using films . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/9486

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Micklethwait, Guy Roland. “Models of Time Travel: a comparative study using films .” 2012. Thesis, Australian National University. Accessed October 20, 2019. http://hdl.handle.net/1885/9486.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Micklethwait, Guy Roland. “Models of Time Travel: a comparative study using films .” 2012. Web. 20 Oct 2019.

Vancouver:

Micklethwait GR. Models of Time Travel: a comparative study using films . [Internet] [Thesis]. Australian National University; 2012. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/1885/9486.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Micklethwait GR. Models of Time Travel: a comparative study using films . [Thesis]. Australian National University; 2012. Available from: http://hdl.handle.net/1885/9486

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.