iagents21's machine_learning [14 articles] Export

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	Mean shift: A robust approach toward feature space analysis [My Copy] 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 as
	Learning with scope, with application to information extraction and classification [My Copy] 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 as
	Robust real-time object detection [My Copy] 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 as
	Sharing visual features for multiclass and multiview object detection [My Copy] 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 as
	Think globally, fit locally: unsupervised learning of low dimensional manifolds [My Copy] 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 as
	Normalized cuts and image segmentation [My Copy] 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 as
	Additive logistic regression: A statistical view of boosting [My Copy] 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 as
	Understanding belief propagation and its generalizations [My Copy] 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 as
	Gaussian Processes for Machine Learning [My Copy] (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 as
	A dynamic bayesian network model for autonomous 3D reconstruction from a single indoor image [My Copy] 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 as
	A hierarchical field framework for unified context-based classification [My Copy] 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 as
	Learning associative markov networks [My Copy] 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 as
	Robust 3D scan point classification using associative markov networks [My Copy] 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 as
	Learning with Kernels: Support Vector Machines, Regularization, Optimization and Beyond [My Copy] (2002) by Bernhard Scholkopf, Alex Smola posted to kernel learning_general machine_learning by iagents21 on 2008-03-30 03:04:47 as

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computer_vision	28
machine_learning	14
object_recognition	8
3d_reconstruction	6
boosting	6
depth_estimation	6
learning_general	6
markov_random_fields	6
image_feature_representation	5
random_fields	5
color_indexing	4
field_robotics	4
inference	4
vanishing_point	4
bayesian_inference	3
conditional_random_fields	3
kernel	3
object_detection	3
projective_geometry	3
associate_markov_networks	2
clustering	2
compass_direction	2
contextual_cueing	2
data_association	2
dimension_reduction	2
face_recognition	2
gaussian_process	2
machine_learning_theory	2
navigation	2
neural_networks	2
online_learning	2
range_sensing	2
reducing_multiclass_binary	2
reinforcement_learning	2
scene_classification	2
segmentation	2
approximation	1
bayesian_network	1
cross_category_classification	1
dynamic_bayesian_network	1
eigenanalysis	1
line_detection	1
mcmc	1
mobile_robot	1
probabilistic_graphical_model	1
radial_basis_function	1
sampling	1
scoped_learning	1
sensor_data_analysis	1
shape_context	1
similarity	1
surface_layout	1
thin_plate_spline	1

iagents21's machine_learning [14 articles] Export

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