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You searched for +publisher:"Colorado School of Mines" +contributor:("Szymczak, Andrzej"). Showing records 1 – 10 of 10 total matches.

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Colorado School of Mines

1. Wacker, Taylor. Simultaneous image classification and annotation via fusing multimodal heterogeneous image features.

Degree: MS(M.S.), Electrical Engineering and Computer Science, 2007, Colorado School of Mines

 The increased prevalence of digital imagery drives the development and use of automated image indexing. Current techniques rely upon a single image feature type and… (more)

Subjects/Keywords: Structured Sparcity; Multimodal Learning; Multi-Label Classification; Joint Learning; Image Classification; Image Annotation; Digital images  – Classification; Automatic indexing; Algorithms; Machine learning

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APA (6th Edition):

Wacker, T. (2007). Simultaneous image classification and annotation via fusing multimodal heterogeneous image features. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/170

Chicago Manual of Style (16th Edition):

Wacker, Taylor. “Simultaneous image classification and annotation via fusing multimodal heterogeneous image features.” 2007. Masters Thesis, Colorado School of Mines. Accessed December 09, 2019. http://hdl.handle.net/11124/170.

MLA Handbook (7th Edition):

Wacker, Taylor. “Simultaneous image classification and annotation via fusing multimodal heterogeneous image features.” 2007. Web. 09 Dec 2019.

Vancouver:

Wacker T. Simultaneous image classification and annotation via fusing multimodal heterogeneous image features. [Internet] [Masters thesis]. Colorado School of Mines; 2007. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/11124/170.

Council of Science Editors:

Wacker T. Simultaneous image classification and annotation via fusing multimodal heterogeneous image features. [Masters Thesis]. Colorado School of Mines; 2007. Available from: http://hdl.handle.net/11124/170


Colorado School of Mines

2. Sipeki, Levente. Simplification and visual effectiveness of Morse connection graphs.

Degree: MS(M.S.), Electrical Engineering and Computer Science, 2007, Colorado School of Mines

 Vector field visualization has been a popular research topic in the past few decades. Vector field features have traditionally been defined as trajectories with certain… (more)

Subjects/Keywords: Vector Fields; Simplification; Morse Sets; Vector fields; Flow visualization; Graphic methods

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APA (6th Edition):

Sipeki, L. (2007). Simplification and visual effectiveness of Morse connection graphs. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/78283

Chicago Manual of Style (16th Edition):

Sipeki, Levente. “Simplification and visual effectiveness of Morse connection graphs.” 2007. Masters Thesis, Colorado School of Mines. Accessed December 09, 2019. http://hdl.handle.net/11124/78283.

MLA Handbook (7th Edition):

Sipeki, Levente. “Simplification and visual effectiveness of Morse connection graphs.” 2007. Web. 09 Dec 2019.

Vancouver:

Sipeki L. Simplification and visual effectiveness of Morse connection graphs. [Internet] [Masters thesis]. Colorado School of Mines; 2007. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/11124/78283.

Council of Science Editors:

Sipeki L. Simplification and visual effectiveness of Morse connection graphs. [Masters Thesis]. Colorado School of Mines; 2007. Available from: http://hdl.handle.net/11124/78283


Colorado School of Mines

3. Pascua, Daniel E. Data interpretation algorithms for sensor networks in buildings.

Degree: MS(M.S.), Electrical Engineering and Computer Science, 2007, Colorado School of Mines

 The purpose of this research was to create methods to determine important information from large amounts of data collected from a sensor network in a… (more)

Subjects/Keywords: sensor networks; data mining; building monitoring; Sensor networks; Detectors; Algorithms; Linear programming; Ambiguity in science

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APA (6th Edition):

Pascua, D. E. (2007). Data interpretation algorithms for sensor networks in buildings. (Masters Thesis). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/79432

Chicago Manual of Style (16th Edition):

Pascua, Daniel E. “Data interpretation algorithms for sensor networks in buildings.” 2007. Masters Thesis, Colorado School of Mines. Accessed December 09, 2019. http://hdl.handle.net/11124/79432.

MLA Handbook (7th Edition):

Pascua, Daniel E. “Data interpretation algorithms for sensor networks in buildings.” 2007. Web. 09 Dec 2019.

Vancouver:

Pascua DE. Data interpretation algorithms for sensor networks in buildings. [Internet] [Masters thesis]. Colorado School of Mines; 2007. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/11124/79432.

Council of Science Editors:

Pascua DE. Data interpretation algorithms for sensor networks in buildings. [Masters Thesis]. Colorado School of Mines; 2007. Available from: http://hdl.handle.net/11124/79432


Colorado School of Mines

4. Masoud, Abdelsalam. Segmentation and tracking of non-planar templates to improve VSLAM.

Degree: PhD, Electrical Engineering and Computer Science, 2007, Colorado School of Mines

 In this thesis we address the problem of visual simultaneous localization and mapping (VSLAM) using a single camera as the sole sensor. A VSLAM system… (more)

Subjects/Keywords: Structure from motion.; visual SLAM; Tracking; Template matching (Digital image processing); Image segmentation; Image registration; Algorithms; Mobile robots

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APA (6th Edition):

Masoud, A. (2007). Segmentation and tracking of non-planar templates to improve VSLAM. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/17087

Chicago Manual of Style (16th Edition):

Masoud, Abdelsalam. “Segmentation and tracking of non-planar templates to improve VSLAM.” 2007. Doctoral Dissertation, Colorado School of Mines. Accessed December 09, 2019. http://hdl.handle.net/11124/17087.

MLA Handbook (7th Edition):

Masoud, Abdelsalam. “Segmentation and tracking of non-planar templates to improve VSLAM.” 2007. Web. 09 Dec 2019.

Vancouver:

Masoud A. Segmentation and tracking of non-planar templates to improve VSLAM. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2007. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/11124/17087.

Council of Science Editors:

Masoud A. Segmentation and tracking of non-planar templates to improve VSLAM. [Doctoral Dissertation]. Colorado School of Mines; 2007. Available from: http://hdl.handle.net/11124/17087


Colorado School of Mines

5. Howard, James. Method for using activity recognition to improve ensemble forecasting for traffic systems, A.

Degree: PhD, Electrical Engineering and Computer Science, 2007, Colorado School of Mines

 Accurate traffic forecasting is of great interest for commercial, security, and energy efficiency applications. In this work we focus on forecasting the movement of people… (more)

Subjects/Keywords: Traffic estimation; Human activity recognition; Forecasting  – Methodology; Set theory; Error functions; Errors  – Measurement

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APA (6th Edition):

Howard, J. (2007). Method for using activity recognition to improve ensemble forecasting for traffic systems, A. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/17074

Chicago Manual of Style (16th Edition):

Howard, James. “Method for using activity recognition to improve ensemble forecasting for traffic systems, A.” 2007. Doctoral Dissertation, Colorado School of Mines. Accessed December 09, 2019. http://hdl.handle.net/11124/17074.

MLA Handbook (7th Edition):

Howard, James. “Method for using activity recognition to improve ensemble forecasting for traffic systems, A.” 2007. Web. 09 Dec 2019.

Vancouver:

Howard J. Method for using activity recognition to improve ensemble forecasting for traffic systems, A. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2007. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/11124/17074.

Council of Science Editors:

Howard J. Method for using activity recognition to improve ensemble forecasting for traffic systems, A. [Doctoral Dissertation]. Colorado School of Mines; 2007. Available from: http://hdl.handle.net/11124/17074


Colorado School of Mines

6. Bazargani, Farhad. Optimal wave focusing for seismic source imaging.

Degree: PhD, Geophysics, 2007, Colorado School of Mines

 In both global and exploration seismology, studying seismic sources provides geophysicists with invaluable insight into the physics of earthquakes and faulting processes. One way to… (more)

Subjects/Keywords: time-reversal; Source imaging; Focusing; optimization; microseismic; Time reversal; Waves; Microseisms; Mathematical optimization; Tensor fields; Interpolation

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APA (6th Edition):

Bazargani, F. (2007). Optimal wave focusing for seismic source imaging. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/17001

Chicago Manual of Style (16th Edition):

Bazargani, Farhad. “Optimal wave focusing for seismic source imaging.” 2007. Doctoral Dissertation, Colorado School of Mines. Accessed December 09, 2019. http://hdl.handle.net/11124/17001.

MLA Handbook (7th Edition):

Bazargani, Farhad. “Optimal wave focusing for seismic source imaging.” 2007. Web. 09 Dec 2019.

Vancouver:

Bazargani F. Optimal wave focusing for seismic source imaging. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2007. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/11124/17001.

Council of Science Editors:

Bazargani F. Optimal wave focusing for seismic source imaging. [Doctoral Dissertation]. Colorado School of Mines; 2007. Available from: http://hdl.handle.net/11124/17001


Colorado School of Mines

7. Brunhart-Lupo, Nicholas. Morse decompositions of three-dimensional piecewise constant vector fields : concepts and efficient implementations.

Degree: PhD, Electrical Engineering and Computer Science, 2007, Colorado School of Mines

 Discovering and analyzing vector field features, such as stationary points, periodic trajectories or separatrices, is a challenging task. Common approaches to solving this problem use… (more)

Subjects/Keywords: Morse decomposition; vector field topology; recurrence extraction; Piecewise constant vector fields; Vector fields; Piecewise linear topology; Algorithms; Morse theory; Dynamics

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APA (6th Edition):

Brunhart-Lupo, N. (2007). Morse decompositions of three-dimensional piecewise constant vector fields : concepts and efficient implementations. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/17011

Chicago Manual of Style (16th Edition):

Brunhart-Lupo, Nicholas. “Morse decompositions of three-dimensional piecewise constant vector fields : concepts and efficient implementations.” 2007. Doctoral Dissertation, Colorado School of Mines. Accessed December 09, 2019. http://hdl.handle.net/11124/17011.

MLA Handbook (7th Edition):

Brunhart-Lupo, Nicholas. “Morse decompositions of three-dimensional piecewise constant vector fields : concepts and efficient implementations.” 2007. Web. 09 Dec 2019.

Vancouver:

Brunhart-Lupo N. Morse decompositions of three-dimensional piecewise constant vector fields : concepts and efficient implementations. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2007. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/11124/17011.

Council of Science Editors:

Brunhart-Lupo N. Morse decompositions of three-dimensional piecewise constant vector fields : concepts and efficient implementations. [Doctoral Dissertation]. Colorado School of Mines; 2007. Available from: http://hdl.handle.net/11124/17011


Colorado School of Mines

8. Baker, Christopher L. DIRSAC: a directed sample and consensus algorithm for localization with quasi-degenerate data.

Degree: PhD, Electrical Engineering and Computer Science, 2007, Colorado School of Mines

 Autonomous robotic platforms are gaining interest in the scientific and military communities as well as in many industrial and commercial applications. For tractable generic autonomous… (more)

Subjects/Keywords: Uncertainty; Localization; Constraints; Perception; Robotics; Robotics; Detectors; Algorithms; Jacobians

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APA (6th Edition):

Baker, C. L. (2007). DIRSAC: a directed sample and consensus algorithm for localization with quasi-degenerate data. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/79396

Chicago Manual of Style (16th Edition):

Baker, Christopher L. “DIRSAC: a directed sample and consensus algorithm for localization with quasi-degenerate data.” 2007. Doctoral Dissertation, Colorado School of Mines. Accessed December 09, 2019. http://hdl.handle.net/11124/79396.

MLA Handbook (7th Edition):

Baker, Christopher L. “DIRSAC: a directed sample and consensus algorithm for localization with quasi-degenerate data.” 2007. Web. 09 Dec 2019.

Vancouver:

Baker CL. DIRSAC: a directed sample and consensus algorithm for localization with quasi-degenerate data. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2007. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/11124/79396.

Council of Science Editors:

Baker CL. DIRSAC: a directed sample and consensus algorithm for localization with quasi-degenerate data. [Doctoral Dissertation]. Colorado School of Mines; 2007. Available from: http://hdl.handle.net/11124/79396


Colorado School of Mines

9. Liang, Luming. Shape correspondences : local to global.

Degree: PhD, Electrical Engineering and Computer Science, 2007, Colorado School of Mines

 Finding correspondences between two or more shapes is a fundamental and still unsolved problem in computer graphics and computer vision. Typically, one is interested in… (more)

Subjects/Keywords: Shape correspondence; Nonrigid registration; Geodesic spin contour; Isometric matching; Spin contour; Shape descriptor; Shapes; Computer graphics; Computer vision; Image registration; Point set theory; Isometrics (Mathematics); Geodesics (Mathematics)

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APA (6th Edition):

Liang, L. (2007). Shape correspondences : local to global. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/17022

Chicago Manual of Style (16th Edition):

Liang, Luming. “Shape correspondences : local to global.” 2007. Doctoral Dissertation, Colorado School of Mines. Accessed December 09, 2019. http://hdl.handle.net/11124/17022.

MLA Handbook (7th Edition):

Liang, Luming. “Shape correspondences : local to global.” 2007. Web. 09 Dec 2019.

Vancouver:

Liang L. Shape correspondences : local to global. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2007. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/11124/17022.

Council of Science Editors:

Liang L. Shape correspondences : local to global. [Doctoral Dissertation]. Colorado School of Mines; 2007. Available from: http://hdl.handle.net/11124/17022


Colorado School of Mines

10. Ma, Yong. Waveform-based velocity estimation from reflection seismic data.

Degree: PhD, Geophysics, 2007, Colorado School of Mines

 The objective of this thesis is to investigate new methods in reflection seismology for estimating subsurface velocity models accurately and efficiently. Full waveform inversion (FWI)… (more)

Subjects/Keywords: reflection seismology; least squares; traveltime inversion; velocity estimation; waveform inversion; Seismic traveltime inversion; Least squares; Seismic reflection method; Seismic waves – Measurement

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APA (6th Edition):

Ma, Y. (2007). Waveform-based velocity estimation from reflection seismic data. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/76636

Chicago Manual of Style (16th Edition):

Ma, Yong. “Waveform-based velocity estimation from reflection seismic data.” 2007. Doctoral Dissertation, Colorado School of Mines. Accessed December 09, 2019. http://hdl.handle.net/11124/76636.

MLA Handbook (7th Edition):

Ma, Yong. “Waveform-based velocity estimation from reflection seismic data.” 2007. Web. 09 Dec 2019.

Vancouver:

Ma Y. Waveform-based velocity estimation from reflection seismic data. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2007. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/11124/76636.

Council of Science Editors:

Ma Y. Waveform-based velocity estimation from reflection seismic data. [Doctoral Dissertation]. Colorado School of Mines; 2007. Available from: http://hdl.handle.net/11124/76636

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