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You searched for +publisher:"University of New South Wales" +contributor:("Sowmya, Arcot, Computer Science & Engineering, Faculty of Engineering, UNSW"). Showing records 1 – 19 of 19 total matches.

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University of New South Wales

1. Massoudi, Amir. Motion tracking in phase-contrast microscopic images.

Degree: Computer Science & Engineering, 2012, University of New South Wales

 Analysing cell motility is an important process in medical and biomedical studies since most active cellular functions involve change in shape and movements. Manual observation… (more)

Subjects/Keywords: Image Segmentaion; Cell Tracking; Graph Cut; Network flow; Tracking; Energy Minimization; Convex Optimization

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APA (6th Edition):

Massoudi, A. (2012). Motion tracking in phase-contrast microscopic images. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52130 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10800/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Massoudi, Amir. “Motion tracking in phase-contrast microscopic images.” 2012. Masters Thesis, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/52130 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10800/SOURCE01?view=true.

MLA Handbook (7th Edition):

Massoudi, Amir. “Motion tracking in phase-contrast microscopic images.” 2012. Web. 22 Apr 2021.

Vancouver:

Massoudi A. Motion tracking in phase-contrast microscopic images. [Internet] [Masters thesis]. University of New South Wales; 2012. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/52130 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10800/SOURCE01?view=true.

Council of Science Editors:

Massoudi A. Motion tracking in phase-contrast microscopic images. [Masters Thesis]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/52130 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10800/SOURCE01?view=true


University of New South Wales

2. Son, Jae Pyo. Vision based natural assistive technologies with gesture recognition using Kinect.

Degree: Computer Science & Engineering, 2013, University of New South Wales

 Assistive technologies for disabled persons are widely studied and the demand for them is rapidly growing. Assistive technologies enhance independence by enabling disabled persons to… (more)

Subjects/Keywords: Pointing gesture; Gesture recognition; Assistive technology; Hand gesture; Kinect

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APA (6th Edition):

Son, J. P. (2013). Vision based natural assistive technologies with gesture recognition using Kinect. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53087 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11773/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Son, Jae Pyo. “Vision based natural assistive technologies with gesture recognition using Kinect.” 2013. Masters Thesis, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/53087 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11773/SOURCE01?view=true.

MLA Handbook (7th Edition):

Son, Jae Pyo. “Vision based natural assistive technologies with gesture recognition using Kinect.” 2013. Web. 22 Apr 2021.

Vancouver:

Son JP. Vision based natural assistive technologies with gesture recognition using Kinect. [Internet] [Masters thesis]. University of New South Wales; 2013. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/53087 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11773/SOURCE01?view=true.

Council of Science Editors:

Son JP. Vision based natural assistive technologies with gesture recognition using Kinect. [Masters Thesis]. University of New South Wales; 2013. Available from: http://handle.unsw.edu.au/1959.4/53087 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:11773/SOURCE01?view=true


University of New South Wales

3. Samarasinghe, Gihan. Improved Feature Extraction in Multimodal MRI for Computer-Aided Diagnosis of Prostate Cancer.

Degree: Computer Science & Engineering, 2018, University of New South Wales

 Medical image analysis is a powerful non-invasive approach for recognition of many life-threatening diseases including cancer. With advances in Magnetic Resonance Imaging (MRI) technology and… (more)

Subjects/Keywords: feature extraction; prostate cancer; mri; computer-aided diagnosis; magnetic resonance; cad

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APA (6th Edition):

Samarasinghe, G. (2018). Improved Feature Extraction in Multimodal MRI for Computer-Aided Diagnosis of Prostate Cancer. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/60003 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51569/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Samarasinghe, Gihan. “Improved Feature Extraction in Multimodal MRI for Computer-Aided Diagnosis of Prostate Cancer.” 2018. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/60003 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51569/SOURCE02?view=true.

MLA Handbook (7th Edition):

Samarasinghe, Gihan. “Improved Feature Extraction in Multimodal MRI for Computer-Aided Diagnosis of Prostate Cancer.” 2018. Web. 22 Apr 2021.

Vancouver:

Samarasinghe G. Improved Feature Extraction in Multimodal MRI for Computer-Aided Diagnosis of Prostate Cancer. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/60003 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51569/SOURCE02?view=true.

Council of Science Editors:

Samarasinghe G. Improved Feature Extraction in Multimodal MRI for Computer-Aided Diagnosis of Prostate Cancer. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/60003 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:51569/SOURCE02?view=true


University of New South Wales

4. Levenkova, Anastasia. Automatic detection of diabetic retinopathy lesions in ultra-wide field retinal images.

Degree: Computer Science & Engineering, 2018, University of New South Wales

 Diabetic retinopathy (DR) is a leading cause of preventable blindness among individuals of working-age in developed nations. While early detection and treatment of DR is… (more)

Subjects/Keywords: Computer vision; Machine learning; Medical imaging; Retinal image analysis; Neural network

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APA (6th Edition):

Levenkova, A. (2018). Automatic detection of diabetic retinopathy lesions in ultra-wide field retinal images. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/60411 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52099/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Levenkova, Anastasia. “Automatic detection of diabetic retinopathy lesions in ultra-wide field retinal images.” 2018. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/60411 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52099/SOURCE02?view=true.

MLA Handbook (7th Edition):

Levenkova, Anastasia. “Automatic detection of diabetic retinopathy lesions in ultra-wide field retinal images.” 2018. Web. 22 Apr 2021.

Vancouver:

Levenkova A. Automatic detection of diabetic retinopathy lesions in ultra-wide field retinal images. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/60411 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52099/SOURCE02?view=true.

Council of Science Editors:

Levenkova A. Automatic detection of diabetic retinopathy lesions in ultra-wide field retinal images. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/60411 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52099/SOURCE02?view=true


University of New South Wales

5. Zhang, Beihua. Visual matching and tracking of humans in multiple cameras.

Degree: Computer Science & Engineering, 2014, University of New South Wales

 Multiple camera systems may be divided into multiple overlapping and non-overlapping camera systems. Both are widely used for image and video analysis tasks, object analysis,… (more)

Subjects/Keywords: Human tracking; Multiple cameras; Human matching; Feature point pairs

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APA (6th Edition):

Zhang, B. (2014). Visual matching and tracking of humans in multiple cameras. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/54459 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34997/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Zhang, Beihua. “Visual matching and tracking of humans in multiple cameras.” 2014. Masters Thesis, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/54459 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34997/SOURCE02?view=true.

MLA Handbook (7th Edition):

Zhang, Beihua. “Visual matching and tracking of humans in multiple cameras.” 2014. Web. 22 Apr 2021.

Vancouver:

Zhang B. Visual matching and tracking of humans in multiple cameras. [Internet] [Masters thesis]. University of New South Wales; 2014. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/54459 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34997/SOURCE02?view=true.

Council of Science Editors:

Zhang B. Visual matching and tracking of humans in multiple cameras. [Masters Thesis]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/54459 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34997/SOURCE02?view=true


University of New South Wales

6. Hosseini, Mohammadreza. User guided biomedical image segmentation and usable interfaces.

Degree: Computer Science & Engineering, 2016, University of New South Wales

 The ability to measure objects boundary and dimensions in medical and biomedical images and to assure a safe interaction with these image in the experimental… (more)

Subjects/Keywords: Usability; HCI; Image Segmentation; Iterative optimization

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APA (6th Edition):

Hosseini, M. (2016). User guided biomedical image segmentation and usable interfaces. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/56398 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40663/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Hosseini, Mohammadreza. “User guided biomedical image segmentation and usable interfaces.” 2016. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/56398 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40663/SOURCE02?view=true.

MLA Handbook (7th Edition):

Hosseini, Mohammadreza. “User guided biomedical image segmentation and usable interfaces.” 2016. Web. 22 Apr 2021.

Vancouver:

Hosseini M. User guided biomedical image segmentation and usable interfaces. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/56398 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40663/SOURCE02?view=true.

Council of Science Editors:

Hosseini M. User guided biomedical image segmentation and usable interfaces. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/56398 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40663/SOURCE02?view=true


University of New South Wales

7. Pazokifard, Banafsheh. Automatic 3D extraction of pleural plaques and diffuse pleural thickening from lung MDCT images.

Degree: Computer Science & Engineering, 2016, University of New South Wales

 Pleural plaques (PPs) and diffuse pleural thickening (DPT) are very common asbestos related pleural diseases (ARPD). They are currently identified non-invasively using medical imaging techniques.… (more)

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APA (6th Edition):

Pazokifard, B. (2016). Automatic 3D extraction of pleural plaques and diffuse pleural thickening from lung MDCT images. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/55858 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:39551/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Pazokifard, Banafsheh. “Automatic 3D extraction of pleural plaques and diffuse pleural thickening from lung MDCT images.” 2016. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/55858 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:39551/SOURCE02?view=true.

MLA Handbook (7th Edition):

Pazokifard, Banafsheh. “Automatic 3D extraction of pleural plaques and diffuse pleural thickening from lung MDCT images.” 2016. Web. 22 Apr 2021.

Vancouver:

Pazokifard B. Automatic 3D extraction of pleural plaques and diffuse pleural thickening from lung MDCT images. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/55858 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:39551/SOURCE02?view=true.

Council of Science Editors:

Pazokifard B. Automatic 3D extraction of pleural plaques and diffuse pleural thickening from lung MDCT images. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/55858 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:39551/SOURCE02?view=true


University of New South Wales

8. Liu, Yingying. Improving the utilization of training samples in visual recognition.

Degree: Computer Science & Engineering, 2016, University of New South Wales

 Recognition is a fundamental computer vision problem, in which training samples are used to learn models, that then assign labels to test samples. The utilization… (more)

Subjects/Keywords: Model learning; Visual recognition; Training sample description

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APA (6th Edition):

Liu, Y. (2016). Improving the utilization of training samples in visual recognition. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/56113 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40034/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Liu, Yingying. “Improving the utilization of training samples in visual recognition.” 2016. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/56113 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40034/SOURCE02?view=true.

MLA Handbook (7th Edition):

Liu, Yingying. “Improving the utilization of training samples in visual recognition.” 2016. Web. 22 Apr 2021.

Vancouver:

Liu Y. Improving the utilization of training samples in visual recognition. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/56113 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40034/SOURCE02?view=true.

Council of Science Editors:

Liu Y. Improving the utilization of training samples in visual recognition. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/56113 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:40034/SOURCE02?view=true


University of New South Wales

9. Wang, Weihong. A Weakly Supervised Approach for Object Detection.

Degree: Computer Science & Engineering, 2016, University of New South Wales

 Object detection in images and videos is an important topic in computer vision. In general, a large number of training samples are required to train… (more)

Subjects/Keywords: Boosting; Weakly supervised learning; Multiple instance learning; Object detection; Online learning

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APA (6th Edition):

Wang, W. (2016). A Weakly Supervised Approach for Object Detection. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/56619 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:41053/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Wang, Weihong. “A Weakly Supervised Approach for Object Detection.” 2016. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/56619 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:41053/SOURCE02?view=true.

MLA Handbook (7th Edition):

Wang, Weihong. “A Weakly Supervised Approach for Object Detection.” 2016. Web. 22 Apr 2021.

Vancouver:

Wang W. A Weakly Supervised Approach for Object Detection. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/56619 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:41053/SOURCE02?view=true.

Council of Science Editors:

Wang W. A Weakly Supervised Approach for Object Detection. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/56619 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:41053/SOURCE02?view=true


University of New South Wales

10. Lekamge, Basnayake Mudiyanselage Thamali. An automated approach for analysing, classifying and predicting protein x-ray crystallography images.

Degree: Computer Science & Engineering, 2016, University of New South Wales

 Protein X-ray crystallography images are usually studied for the purpose of identifying the three-dimensional structure of proteins at atomic resolution. These experiments produce hundreds and… (more)

Subjects/Keywords: Random forests; Protein X-Ray Crystallography; Classification; Multi-view learning; Sequence classification; Sequence prediction

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APA (6th Edition):

Lekamge, B. M. T. (2016). An automated approach for analysing, classifying and predicting protein x-ray crystallography images. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/58814 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47628/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Lekamge, Basnayake Mudiyanselage Thamali. “An automated approach for analysing, classifying and predicting protein x-ray crystallography images.” 2016. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/58814 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47628/SOURCE02?view=true.

MLA Handbook (7th Edition):

Lekamge, Basnayake Mudiyanselage Thamali. “An automated approach for analysing, classifying and predicting protein x-ray crystallography images.” 2016. Web. 22 Apr 2021.

Vancouver:

Lekamge BMT. An automated approach for analysing, classifying and predicting protein x-ray crystallography images. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/58814 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47628/SOURCE02?view=true.

Council of Science Editors:

Lekamge BMT. An automated approach for analysing, classifying and predicting protein x-ray crystallography images. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/58814 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:47628/SOURCE02?view=true


University of New South Wales

11. Ke, Jing. Parallel Computing and Performance Optimisation in Remotely Sensed Image Processing.

Degree: Computer Science & Engineering, 2018, University of New South Wales

 Remote sensing is the acquisition of physical response from an object without touch or contact, often collected by remote sensors mounted on satellites or aircraft.… (more)

Subjects/Keywords: Parallel computing; GPGPU; Remote sensing

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APA (6th Edition):

Ke, J. (2018). Parallel Computing and Performance Optimisation in Remotely Sensed Image Processing. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/59793 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49745/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Ke, Jing. “Parallel Computing and Performance Optimisation in Remotely Sensed Image Processing.” 2018. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/59793 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49745/SOURCE02?view=true.

MLA Handbook (7th Edition):

Ke, Jing. “Parallel Computing and Performance Optimisation in Remotely Sensed Image Processing.” 2018. Web. 22 Apr 2021.

Vancouver:

Ke J. Parallel Computing and Performance Optimisation in Remotely Sensed Image Processing. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/59793 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49745/SOURCE02?view=true.

Council of Science Editors:

Ke J. Parallel Computing and Performance Optimisation in Remotely Sensed Image Processing. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/59793 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49745/SOURCE02?view=true


University of New South Wales

12. Vo, Kiet Tuan. Multi-directional multi-resolution modelling of HRCT images for automatic classification of diffuse lung disease.

Degree: Computer Science & Engineering, 2018, University of New South Wales

 High Resolution Computer Tomography (HRCT) is a valuable imaging modality for detection and characterization of lung diseases. Manual assessment of disease findings and severity on… (more)

Subjects/Keywords: Multi-directional analysis; High Resolution Computer Tomography (HRCT) Lung Images; Multi-resolution analysis; Diffuse lung disease

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APA (6th Edition):

Vo, K. T. (2018). Multi-directional multi-resolution modelling of HRCT images for automatic classification of diffuse lung disease. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/59809 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49852/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Vo, Kiet Tuan. “Multi-directional multi-resolution modelling of HRCT images for automatic classification of diffuse lung disease.” 2018. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/59809 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49852/SOURCE02?view=true.

MLA Handbook (7th Edition):

Vo, Kiet Tuan. “Multi-directional multi-resolution modelling of HRCT images for automatic classification of diffuse lung disease.” 2018. Web. 22 Apr 2021.

Vancouver:

Vo KT. Multi-directional multi-resolution modelling of HRCT images for automatic classification of diffuse lung disease. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/59809 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49852/SOURCE02?view=true.

Council of Science Editors:

Vo KT. Multi-directional multi-resolution modelling of HRCT images for automatic classification of diffuse lung disease. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/59809 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49852/SOURCE02?view=true


University of New South Wales

13. Zong, Kaibin. Building change detection from remotely sensed data using machine learning techniques.

Degree: Computer Science & Engineering, 2017, University of New South Wales

 As remote sensing data plays an increasingly important role in many fields, manycountries have established geographic information systems. However, such systemsusually suffer from obsolete scene… (more)

Subjects/Keywords: Remote Sensing; Change Detection; Buildings

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APA (6th Edition):

Zong, K. (2017). Building change detection from remotely sensed data using machine learning techniques. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/57153 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42696/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Zong, Kaibin. “Building change detection from remotely sensed data using machine learning techniques.” 2017. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/57153 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42696/SOURCE02?view=true.

MLA Handbook (7th Edition):

Zong, Kaibin. “Building change detection from remotely sensed data using machine learning techniques.” 2017. Web. 22 Apr 2021.

Vancouver:

Zong K. Building change detection from remotely sensed data using machine learning techniques. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/57153 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42696/SOURCE02?view=true.

Council of Science Editors:

Zong K. Building change detection from remotely sensed data using machine learning techniques. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/57153 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42696/SOURCE02?view=true


University of New South Wales

14. Sridhar, Anuraag. Combining computer vision and knowledge acquisition to provide real-time activity recognition for multiple persons within immersive environments.

Degree: Computer Science & Engineering, 2012, University of New South Wales

 In recent years, vision is gaining increasing importance as a method of human-computer interaction. Vision techniques are becoming popular especially within immersive environment systems, which… (more)

Subjects/Keywords: Activity recognition; Computer vision; Knowledge acquisition; Immersive environments

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APA (6th Edition):

Sridhar, A. (2012). Combining computer vision and knowledge acquisition to provide real-time activity recognition for multiple persons within immersive environments. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/51899 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10569/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Sridhar, Anuraag. “Combining computer vision and knowledge acquisition to provide real-time activity recognition for multiple persons within immersive environments.” 2012. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/51899 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10569/SOURCE02?view=true.

MLA Handbook (7th Edition):

Sridhar, Anuraag. “Combining computer vision and knowledge acquisition to provide real-time activity recognition for multiple persons within immersive environments.” 2012. Web. 22 Apr 2021.

Vancouver:

Sridhar A. Combining computer vision and knowledge acquisition to provide real-time activity recognition for multiple persons within immersive environments. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/51899 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10569/SOURCE02?view=true.

Council of Science Editors:

Sridhar A. Combining computer vision and knowledge acquisition to provide real-time activity recognition for multiple persons within immersive environments. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/51899 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10569/SOURCE02?view=true


University of New South Wales

15. Dang, Shaobo. Learning-Based Methods for Outlier Detection in Imbalanced and Heterogeneous Data.

Degree: Computer Science & Engineering, 2018, University of New South Wales

 This thesis describes novel approaches to the problem of outlier detection. It is one of the most important problems in the field of machine learning… (more)

Subjects/Keywords: Heterogeneous; Outlier Detection; One Class Classification; Metric Learning; Imbalanced Data; Multiple Kernel Learning

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APA (6th Edition):

Dang, S. (2018). Learning-Based Methods for Outlier Detection in Imbalanced and Heterogeneous Data. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/59789 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49734/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Dang, Shaobo. “Learning-Based Methods for Outlier Detection in Imbalanced and Heterogeneous Data.” 2018. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/59789 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49734/SOURCE02?view=true.

MLA Handbook (7th Edition):

Dang, Shaobo. “Learning-Based Methods for Outlier Detection in Imbalanced and Heterogeneous Data.” 2018. Web. 22 Apr 2021.

Vancouver:

Dang S. Learning-Based Methods for Outlier Detection in Imbalanced and Heterogeneous Data. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/59789 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49734/SOURCE02?view=true.

Council of Science Editors:

Dang S. Learning-Based Methods for Outlier Detection in Imbalanced and Heterogeneous Data. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/59789 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:49734/SOURCE02?view=true


University of New South Wales

16. Yang, Jun. Vehicle detection and tracking in road traffic surveillance.

Degree: Computer Science & Engineering, 2012, University of New South Wales

 Vehicle detection and tracking in road traffic surveillance is a classical task in computer vision and a critical component in a modern traffic monitoring system.… (more)

Subjects/Keywords: Traffic surveillance; Vehicle detection; Vehicle tracking

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APA (6th Edition):

Yang, J. (2012). Vehicle detection and tracking in road traffic surveillance. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/51700 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10367/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Yang, Jun. “Vehicle detection and tracking in road traffic surveillance.” 2012. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/51700 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10367/SOURCE02?view=true.

MLA Handbook (7th Edition):

Yang, Jun. “Vehicle detection and tracking in road traffic surveillance.” 2012. Web. 22 Apr 2021.

Vancouver:

Yang J. Vehicle detection and tracking in road traffic surveillance. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/51700 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10367/SOURCE02?view=true.

Council of Science Editors:

Yang J. Vehicle detection and tracking in road traffic surveillance. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/51700 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10367/SOURCE02?view=true


University of New South Wales

17. Avnit, Karin. Provably correct on-chip communication: a formal approach to automatic synthesis of SoC protocol converters.

Degree: Computer Science & Engineering, 2010, University of New South Wales

 The field of chip design is characterized by contradictory pressures to reduce time-to-market and maintain a high level of reliability. As a result, module reuse… (more)

Subjects/Keywords: System-on-Chip; Formal Methods; Protocol converter

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APA (6th Edition):

Avnit, K. (2010). Provably correct on-chip communication: a formal approach to automatic synthesis of SoC protocol converters. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/44701 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8001/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Avnit, Karin. “Provably correct on-chip communication: a formal approach to automatic synthesis of SoC protocol converters.” 2010. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/44701 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8001/SOURCE01?view=true.

MLA Handbook (7th Edition):

Avnit, Karin. “Provably correct on-chip communication: a formal approach to automatic synthesis of SoC protocol converters.” 2010. Web. 22 Apr 2021.

Vancouver:

Avnit K. Provably correct on-chip communication: a formal approach to automatic synthesis of SoC protocol converters. [Internet] [Doctoral dissertation]. University of New South Wales; 2010. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/44701 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8001/SOURCE01?view=true.

Council of Science Editors:

Avnit K. Provably correct on-chip communication: a formal approach to automatic synthesis of SoC protocol converters. [Doctoral Dissertation]. University of New South Wales; 2010. Available from: http://handle.unsw.edu.au/1959.4/44701 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8001/SOURCE01?view=true


University of New South Wales

18. Bourke , Timothy Peter. Modelling and programming embedded controllers with timed automata and synchronous languages.

Degree: Computer Science & Engineering, 2009, University of New South Wales

 Embedded controllers coordinate the behaviours of specialised hardware components to satisfy broader application requirements. They are difficult to model and to program. One of the… (more)

Subjects/Keywords: Argos; Timed automata; Synchronous languages; Esterel; Modelling; Real-time; Simulink; Stateflow; Timing diagrams

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APA (6th Edition):

Bourke , T. P. (2009). Modelling and programming embedded controllers with timed automata and synchronous languages. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/44746 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8045/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Bourke , Timothy Peter. “Modelling and programming embedded controllers with timed automata and synchronous languages.” 2009. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/44746 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8045/SOURCE02?view=true.

MLA Handbook (7th Edition):

Bourke , Timothy Peter. “Modelling and programming embedded controllers with timed automata and synchronous languages.” 2009. Web. 22 Apr 2021.

Vancouver:

Bourke TP. Modelling and programming embedded controllers with timed automata and synchronous languages. [Internet] [Doctoral dissertation]. University of New South Wales; 2009. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/44746 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8045/SOURCE02?view=true.

Council of Science Editors:

Bourke TP. Modelling and programming embedded controllers with timed automata and synchronous languages. [Doctoral Dissertation]. University of New South Wales; 2009. Available from: http://handle.unsw.edu.au/1959.4/44746 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:8045/SOURCE02?view=true


University of New South Wales

19. Zhou, Feng. Generalized Hawkes Process: Nonparametric and Nonstationary.

Degree: Computer Science & Engineering, 2019, University of New South Wales

 Point process is a common statistical model used to describe the pattern of event occurrence for many real-world applications, such as earthquake prediction and financial… (more)

Subjects/Keywords: Hawkes Process; Bayesian Nonparametric

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

APA (6th Edition):

Zhou, F. (2019). Generalized Hawkes Process: Nonparametric and Nonstationary. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/65553 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:64757/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Zhou, Feng. “Generalized Hawkes Process: Nonparametric and Nonstationary.” 2019. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/65553 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:64757/SOURCE02?view=true.

MLA Handbook (7th Edition):

Zhou, Feng. “Generalized Hawkes Process: Nonparametric and Nonstationary.” 2019. Web. 22 Apr 2021.

Vancouver:

Zhou F. Generalized Hawkes Process: Nonparametric and Nonstationary. [Internet] [Doctoral dissertation]. University of New South Wales; 2019. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/65553 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:64757/SOURCE02?view=true.

Council of Science Editors:

Zhou F. Generalized Hawkes Process: Nonparametric and Nonstationary. [Doctoral Dissertation]. University of New South Wales; 2019. Available from: http://handle.unsw.edu.au/1959.4/65553 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:64757/SOURCE02?view=true

.