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Pattern Recognition
Results: 1666

#	Item
121	Towards Anytime Active Learning: Interrupting Experts to Reduce Annotation Costs Maria E. Ramirez-Loaiza Aron Culotta Add to Reading List Source URL: poloclub.gatech.edu Language: English - Date: 2013-07-08 06:03:55 Machine learning Statistical classification Artificial intelligence Learning Support vector machine Pattern recognition Supervised learning Linear classifier Naive Bayes classifier Generalization error Document classification
122	Combining Semantic and Geometric Features for Object Class Segmentation of Indoor Scenes Add to Reading List Source URL: www.ais.uni-bonn.de Language: English - Date: 2016-02-12 15:09:15 Computational neuroscience Artificial intelligence Vision Image segmentation Cybernetics Computer vision Convolutional neural network Feature detection Deep learning Thresholding Conference on Computer Vision and Pattern Recognition Artificial neural network
123	Jiaya Jia February 2016 Phone: (Fax: (Email: Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English - Date: 2016-02-12 02:39:47 IEEE conferences Science and technology Science in society Electrical engineering International Conference on Computer Vision Conference on Computer Vision and Pattern Recognition IEEE Transactions on Pattern Analysis and Machine Intelligence James Z. Wang
124	On Channel Reliability Measure Training for Multi-Camera Face Recognition Binglong Xie, Visvanathan Ramesh, Ying Zhu Terry Boult Real-Time Vision and Modeling Dept. Add to Reading List Source URL: vast.uccs.edu Language: English - Date: 2007-03-17 11:19:55 Artificial intelligence Machine learning Ensemble learning Learning AdaBoost Boosting Statistical classification K-nearest neighbors algorithm Pattern recognition ViolaJones object detection framework CoBoosting
125	On the Evaluation of Scene Flow Estimation Philippos Mordohai Stevens Institute of Technology Abstract. This paper surveys the state of the art in evaluating the Add to Reading List Source URL: www.cs.stevens.edu Language: English - Date: 2012-08-27 22:02:00 Computer vision Vision IEEE conferences Artificial intelligence Optical flow Video processing Conference on Computer Vision and Pattern Recognition International Conference on Computer Vision Motion estimation Structure from motion Stereoscopy 3D television
126	SEARCHING HUMAN BEHAVIORS USING SPATIAL-TEMPORAL WORDS Huazhong Ning, Yuxiao Hu, Thomas S. Huang Beckman Institute and ECE Department University of Illinois at Urbana-Champaign 405 North Mathews Avenue, Urbana, IL 61801 Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2007-12-13 11:54:28 Visual arts Vision Multimedia Gabor filter Image processing Pattern recognition Conference on Computer Vision and Pattern Recognition Image segmentation Video search engine Artificial intelligence
127	Smoothness without Smoothing: Why Gaussian Naive Bayes Is Not Naive for Multi-Subject Searchlight Studies Rajeev D. S. Raizada1, Yune-Sang Lee2,3* 1 Dept. of Psychology, Cornell University, Ithaca, New York, United State Add to Reading List Source URL: www.bcs.rochester.edu Language: English - Date: 2016-01-29 19:10:22 Statistical classification Statistics Neuroscience Machine learning Neuroimaging Imaging Magnetic resonance imaging Cognitive neuroscience Functional magnetic resonance imaging Naive Bayes classifier Pattern recognition Voxel
128	Attend, Infer, Repeat: Fast Scene Understanding with Deep Generative Models S. M. Ali Eslami David Szepesvari Add to Reading List Source URL: juxi.net Language: English - Date: 2016-06-17 11:44:38 Artificial neural networks Statistics Artificial intelligence Applied mathematics Cybernetics Computational neuroscience Computational statistics Deep learning Graphical models Bayesian network Pattern recognition Computer vision
129	Learning Online Smooth Predictors for Realtime Camera Planning using Recurrent Decision Trees ˚ Jianhui Chen ˚ Add to Reading List Source URL: www.yisongyue.com Language: English - Date: 2016-03-21 19:21:46 Machine learning Artificial intelligence Learning Kalman filter Decision tree learning Conditional random field Pattern recognition Loss function Semi-supervised learning Structured prediction Prediction Artificial neural network
130	Audio-Visual Emotion Challenge 2012: A Simple Approach ∗ Laurens van der Maaten Pattern Recognition and Bioinformatics Group, Delft University of Technology Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Statistics Estimation theory Control theory Affective computing Regression analysis Kalman filter Affect Prediction Generalizations of the derivative Emotion Systems theory

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