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Feature learning
Results: 920

#	Item
511	Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:41 Mathematics Statistics Probability theory Bayesian statistics Conditional random field Machine learning Belief propagation Markov random field Feature recognition Graphical models Applied mathematics Theoretical computer science
512	Feature rich multimedia content Results NSW jurisdiction Add to Reading List Source URL: www.education.nt.gov.au Language: English - Date: 2011-09-23 04:56:32 Virtual education Tutor Education Distance education E-learning
513	Pose Pooling Kernels for Sub-category Recognition Ning Zhang ICSI & UC Berkeley Ryan Farrell ICSI & UC Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-11-25 23:02:39 Imaging One-shot learning Visual descriptors Support vector machine K-nearest neighbor algorithm Kernel Feature Scale-invariant feature transform Histogram of oriented gradients Computer vision Artificial intelligence Vision
514	Large Scale Max-Margin Multi-Label Classification with Priors Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2011-04-17 13:22:30 Support vector machine Linear classifier Multi-label classification Pattern recognition Feature selection Mathematical optimization Statistics Machine learning Statistical classification
515	Beyond Spatial Pyramids: Receptive Field Learning for Pooled Image Features Yangqing Jia1 Chang Huang2 Trevor Darrell1 1 2 Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-18 17:47:15 Overcompleteness Linear classifier Statistical classification Supervised learning Feature selection K-nearest neighbor algorithm Feature Pattern recognition Support vector machine Statistics Machine learning Artificial intelligence
516	Anytime Recognition of Objects and Scenes Sergey Karayev UC Berkeley Mario Fritz Max Planck Institute for Informatics Add to Reading List Source URL: sergeykarayev.com Language: English - Date: 2015-01-07 04:16:21 Dimension reduction Feature selection Model selection Reinforcement learning Naive Bayes classifier Support vector machine Classifier Markov decision process Linear classifier Statistics Statistical classification Machine learning
517	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue∗ Yangqing Jia∗ Oriol Vinyals Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-11-25 23:03:53 Mind One-shot learning Support vector machine Perceptual learning Cross-validation Machine learning Statistics Learning Artificial intelligence
518	Object Recognition as Ranking Holistic Figure-Ground Hypotheses Fuxin Li∗ and Joao Carreira∗ and Cristian Sminchisescu Computer Vision and Machine Learning Group, Institute for Numerical Simulation, Faculty of Mathem Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-06-04 23:24:54 Memory segmentation Market segmentation Minimum bounding box Feature extraction Dimension Geometry Mathematics Image processing Computer vision Segmentation
519	Mach Learn manuscript No. (will be inserted by the editor) Efficient Max-Margin Multi-Label Classification with Applications to Zero-Shot Learning Bharath Hariharan · S. V. N. Vishwanathan · Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-04-02 22:06:30 Ensemble learning Supervised learning Multi-label classification Multiclass classification Regression analysis Feature selection Boosting Correlation and dependence Classifier chains Statistics Machine learning Statistical classification
520	On Compact Codes for Spatially Pooled Features Yangqing Jia Oriol Vinyals Trevor Darrell UC Berkeley EECS, Berkeley, CA[removed]USA Add to Reading List Source URL: jmlr.org Language: English - Date: 2013-08-14 01:36:43 Statistical classification Cybernetics Learning Machine learning Feature selection Principal component analysis Segmentation Cluster analysis Linear classifier Statistics Multivariate statistics Data analysis

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