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Mean shift: A robust approach toward feature space analysis

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IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 5. (2002), pp. 603-619
by Dorin Comaniciu, Peter Meer
posted to clustering computer_vision data_association dimension_reduction image_feature_representation learning_general machine_learning by iagents21 on 2009-05-06 21:57:37 read
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The unreasonable effectiveness of data

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IEEE Intelligent Systems (2009), pp. 8-12
by Alon Halevy, Peter Norvig, Fernando Pereira
posted to no-tag by iagents21 on 2009-04-22 15:42:38 **
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Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories

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In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2006), pp. 2169-2178
by Svetlana Lazebnik, Cordelia Schmid, Jean Ponce
posted to computer_vision scene_classification by iagents21 on 2009-04-21 03:15:44 read
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Learning with scope, with application to information extraction and classification

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In Proceedings of Uncertainty in AI (2002), pp. 53-60
by David M. Blei, Andrew J. Bagnell, Andrew K. Mccallum
posted to bayesian_inference inference machine_learning scoped_learning by iagents21 on 2009-04-15 22:08:29 read
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Robust real-time object detection

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In Proceedings of International Workshop on Statistical and Computational Theories of Vision - Modeling, Learning, Computing, and Sampling (2001)
by Paul Viola, Michael Jones
posted to boosting computer_vision face_recognition machine_learning object_detection object_recognition by iagents21 on 2009-04-14 15:44:25 read
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Sharing visual features for multiclass and multiview object detection

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IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, No. 5. (May 2007), pp. 854-869
by A. Torralba, K. P. Murphy, W. T. Freeman
posted to boosting cross_category_classification image_feature_representation machine_learning object_detection object_recognition by iagents21 on 2009-04-14 02:20:38 read
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Think globally, fit locally: unsupervised learning of low dimensional manifolds

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Journal of Machine Learning Research, Vol. 4 (2003), pp. 119-155
by Lawrence K. Saul, Sam T. Roweis
posted to clustering dimension_reduction inference learning_general machine_learning machine_learning_theory by iagents21 on 2009-04-07 21:09:31 read
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Efficient graph based segmentation

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International Journal of Computer Vision, Vol. 59, No. 2. (2004), pp. 167-181
by Pedro F. Felzenszwalb, Daniel P. Huttenlocher
posted to computer_vision segmentation by iagents21 on 2009-03-26 21:31:32 **
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Recovering surface layout from an image

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International Journal of Computer Vision, Vol. 75, No. 1. (2007), pp. 151-172
by Derek Hoiem, Alexei A. Efros, Martial Hebert
posted to 3d_reconstruction computer_vision conditional_random_fields contextual_cueing depth_estimation image_feature_representation object_recognition scene_classification surface_layout vanishing_point by iagents21 on 2009-03-26 14:55:47 read
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Normalized cuts and image segmentation

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IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No. 8. (2000), pp. 888-905
by Jianbo Shi, Jitendra Malik
posted to computer_vision inference machine_learning segmentation by iagents21 on 2009-03-18 20:17:53 read
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Additive logistic regression: A statistical view of boosting

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Annals of Statistics, Vol. 17 (2000), pp. 337-407
by J. H. Friedman, T. Hastie, R. Tishirani
posted to boosting learning_general machine_learning machine_learning_theory online_learning by iagents21 on 2009-03-17 20:25:09 read
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Empirical evaluation of dissimilarity measures for color and texture

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Computer Vision and Image Understanding, Vol. 84 (2001), pp. 25-43
by Yossi Rubner, Jan Puzicha, Carlo Tomasi, Joachim M. Buhmann
posted to computer_vision similarity by iagents21 on 2009-03-02 15:32:02 read
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The role of context in object recognition

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TRENDS in Cognitive Sciences, Vol. 11, No. 12. (2007), pp. 520-527
by Aude Oliva, Antonio Torralba
posted to computer_vision contextual_cueing object_detection object_recognition by iagents21 on 2009-02-25 15:02:44 read
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Understanding belief propagation and its generalizations

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by Jonathan S. Yedidia, William T. Freeman, Yair Weiss
posted to approximation bayesian_inference inference machine_learning markov_random_fields probabilistic_graphical_model random_fields by iagents21 on 2008-11-08 03:33:31 read
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Eigenfaces for recognition

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Journal of Cognitive Neuroscience, Vol. 3, No. 1. (1991), pp. 71-86
by Matthew Turk, Alex Pentland
posted to computer_vision eigenanalysis face_recognition image_feature_representation neural_networks by iagents21 on 2008-10-07 19:55:10 read
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Gaussian Processes for Machine Learning

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(2006)
by Carl E. Rasmussen, Christopher K. I. Williams
posted to bayesian_inference gaussian_process kernel machine_learning by iagents21 on 2008-09-03 21:49:14 **
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A dynamic bayesian network model for autonomous 3D reconstruction from a single indoor image

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In IEEE Conference on Computer Vision and Pattern Recognition (2006), pp. 2418-2428
by Erick Delage, Honglak Lee, Andrew Y. Ng
posted to 3d_reconstruction bayesian_network computer_vision depth_estimation dynamic_bayesian_network machine_learning projective_geometry by iagents21 on 2008-08-08 23:13:28 read
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Video compass

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In Proceedings of European Conference on Computer Vision (2002), pp. 476-490
by Jana Kosecka, Wei Zhang
posted to 3d_reconstruction compass_direction computer_vision vanishing_point by iagents21 on 2008-08-08 15:05:18 read
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Vanishing point detection: Representation analysis and new approaches

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In Proceedings of International Conference on Image Processing (2001), pp. 90-94
by Virginio Cantoni, Luca Lombardi, Marco Porta, Nicolas Sicard
posted to 3d_reconstruction computer_vision projective_geometry vanishing_point by iagents21 on 2008-08-01 20:15:23 read
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A hierarchical field framework for unified context-based classification

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In Proceedings of International Conference on Computer Vision (2005), pp. 1284-1291
by Sanjiv Kumar, Martial Hebert
posted to computer_vision conditional_random_fields machine_learning markov_random_fields object_recognition random_fields by iagents21 on 2008-08-01 18:04:19 **
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Learning associative markov networks

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In Proceedings of International Conference on Machine Learning (2004)
by Benjamin Taskar, Vassil Chatalbashev, Daphne Koller
posted to associate_markov_networks machine_learning markov_random_fields random_fields by iagents21 on 2008-08-01 17:34:43 **
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Rough terrain autonomous mobility—part 1: A theoretical analysis of requirements

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Autonomous Robots, Vol. 5, No. 2. (May 1998), pp. 129-161
by Alonzo Kelly, Anthony Stentz
posted to field_robotics mobile_robot by iagents21 on 2008-07-14 16:59:48 **
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Robust 3D scan point classification using associative markov networks

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In Proceedings of International Conference on Robotics and Automation (2006), pp. 2603-2608
by Rudolph Triebel, Kristian Kersting, Wolfram Burgard
posted to 3d_reconstruction associate_markov_networks machine_learning random_fields range_sensing by iagents21 on 2008-07-14 15:24:36 **
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Efficient computation of vanishing points

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In Proceedings of International Conference on Robotics and Automation (2002), pp. 223-228
by Jana Kosecka, Wei Zhang
posted to computer_vision vanishing_point by iagents21 on 2008-07-11 19:10:51 **
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Projective geometry for machine vision

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(1992), pp. 463-519
by Joseph
edited by Joseph
posted to computer_vision projective_geometry by iagents21 on 2008-05-29 19:03:55 ***
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It is a chapter of the book entitled "Geometric Invariance in Computer Vision"

 

Manhattan world: Compass direction from a single image by Bayesian inference

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(1999), pp. 941-947
by James
posted to 3d_reconstruction compass_direction computer_vision by iagents21 on 2008-05-23 22:52:08 ***
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Color machine vision

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(1999)
by Shashi D. Buluswar
posted to color_indexing computer_vision by iagents21 on 2008-05-22 16:45:24 ***
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Color constant color indexing

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IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 17, No. 5. (1995), pp. 522-529
by Brian
posted to color_indexing computer_vision object_recognition by iagents21 on 2008-05-22 16:43:29 ***
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Color indexing

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International Journal of Computer Vision, Vol. 7, No. 1. (1991), pp. 11-32
by Swain
posted to color_indexing computer_vision object_recognition by iagents21 on 2008-05-22 16:38:18 ***
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Image signatures for place recognition and map construction

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In SPIE Proceeding of Sensor Fusion IV: Control Paradigms and Data Structures (1991), pp. 282-293
by Engelson
posted to color_indexing computer_vision object_recognition by iagents21 on 2008-05-22 16:36:17 ***
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A fast line finder for vision-guided robot navigation

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IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 12, No. 11. (November 1990), pp. 1098-1101
by P. Kahn, L. Kitchen, E. M. Riseman
posted to computer_vision field_robotics line_detection navigation by iagents21 on 2008-04-25 15:01:03 **
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Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond

  [CiTO]
(2002)
by Bernhard Scholkopf, Alex Smola
posted to kernel learning_general machine_learning by iagents21 on 2008-03-30 03:04:47 **
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An introduction to MCMC for machine learning

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Machine Learning, Vol. 50 (2003), pp. 5-43
by Christophe Andrieu, Nando De Freitas, Arnaud Doucet, Micheal I. Jordan
posted to mcmc sampling by iagents21 on 2008-03-17 03:53:33 **
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An application of markov random fields to range sensing

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In Proceedings of Advanced Neural Information Processing Systems (2005), pp. 291-298
by James Diebel, Sebastian Thrun
posted to markov_random_fields range_sensing by iagents21 on 2008-03-14 00:43:39 **
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Depth estimation from image structure

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IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 9. (September 2002), pp. 1226-1238
by Antonio Torralba, Aude Oliva
posted to computer_vision depth_estimation by iagents21 on 2008-03-11 19:18:37 **
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Markov Random Field Modeling in Image Analysis

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(2001)
by Stan Z. Li
posted to computer_vision markov_random_fields by iagents21 on 2008-03-08 15:04:46 **
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Vision for mobile robot navigation: A survey

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IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 2. (February 2002), pp. 237-267
by Guilherme N. Desouza, Avinash C. Kak
posted to computer_vision field_robotics navigation by iagents21 on 2008-03-06 20:59:55 **
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Shape matching and object recognition using shape contexts

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IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 24. (April 2002), pp. 509-522
by Serge Belongie, Jitenddra Malik, Jan Puzicha
posted to computer_vision image_feature_representation shape_context thin_plate_spline by iagents21 on 2008-03-06 20:45:41 **
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On discriminative vs generative classifier

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In Proceedings of Advanced Neural Information Processing Systems (2002)
by Andrew
posted to learning_general by iagents21 on 2008-01-02 18:08:15 **
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Discriminative vs informative learning

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In Proceedings of Conference on Knowledge Discovery and Data Mining (1997), pp. 49-53
by Dan
posted to learning_general by iagents21 on 2008-01-02 18:04:12 **
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Exact maximum a posteriori estimation for binary images

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Journal of the Royal Statistical Society, Vol. 51, No. 2. (1989), pp. 271-279
by Greig
posted to computer_vision markov_random_fields random_fields by iagents21 on 2007-12-17 19:25:08 **
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CRF-matching: Conditional random fields for feature-based scan matching

  [CiTO]
In Robotics Science and Systems (2007)
by Fabio
posted to conditional_random_fields data_association by iagents21 on 2007-12-17 19:23:23 **
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High speed obstacle avoidance using monocular vision and reinforcement learning

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In Proceedings of International Conference on Machine Learning (ICML-05) (2005), pp. 593-600
by Jeff
posted to depth_estimation reinforcement_learning by iagents21 on 2007-12-17 19:13:42 **
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Statistics of range images

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In Proceedings of Computer Vision and Pattern Recognition (CVPR) (2000), pp. 1324-1331
by Huang
posted to computer_vision depth_estimation by iagents21 on 2007-12-17 19:11:50 **
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3D depth reconstruction from a single still image

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International Journal of Computer Vision (2007)
by Ashutosh
posted to computer_vision depth_estimation by iagents21 on 2007-12-16 00:58:02 **
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Introduction to Radial Basis Function

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(1996)
by Mark J. L. Orr
posted to neural_networks radial_basis_function by iagents21 on 2007-12-13 18:58:11 **
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http://www.anc.ed.ac.uk/rbf/intro/intro.html

 

Reinforcement learning: A survey

  [CiTO]
Journal of Artificial Journal of Artificial Intelligence Research, Vol. 4 (1996), pp. 237-285
by Leslie
posted to reinforcement_learning by iagents21 on 2007-12-12 20:39:52 **
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http://www.cs.cmu.edu/afs/cs/project/jair/pub/volume4/kaelbling96a-html/rl-survey.html

 

The boosting approach to machine learning: An overview

  [CiTO]
In MSRI Workshop on Nonlinear Estimation and Classification (2002)
by Robert E. Schapire
posted to boosting by iagents21 on 2007-12-10 16:18:07 **
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A decision-theoretic generalization of on-line learning and an application to boosting

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Journal of Computer and System Sciences, Vol. 55 (1997), pp. 119-139
by Yoav
posted to boosting by iagents21 on 2007-12-10 04:55:35 **
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A short introduction to boosting

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Journal of Japanese Society for Artificial Intelligence, Vol. 14, No. 5. (1999), pp. 771-780
by Yoav
posted to boosting by iagents21 on 2007-12-10 04:19:22 **
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