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Supervised learning
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761	research highlights doi:[removed][removed]Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2013-03-26 21:03:55 Science Statistical models Machine learning Clutter Latent variable Sperner family Segmentation Supervised learning Causality Statistics Mathematics Image processing
762	LanguageNet • Signal Learning: Acoustic Landmarks – Mark Hasegawa‐Johnson – Thomas Huang • Semi‐Supervised Learning of Latent Representations – Jeff Bilmes Add to Reading List Source URL: www.iarpa.gov Language: English - Date: 2014-04-07 14:53:56 Learning Regularization Cognition Machine learning Artificial intelligence Supervised learning
763	‘Celebrating a Passion for Learning’ Town and Gown Dinner Tuesday 19 June 2007 Not long ago a former student of mine came to have lunch with me. I had supervised his Honours thesis in History before he finished his L Add to Reading List Source URL: www.unimelb.edu.au Language: English - Date: 2007-07-03 22:44:12 Critical pedagogy Educational psychology Melbourne Model University of Melbourne Eleanor Duckworth Student-centred learning Education Alternative education Philosophy of education
764	Figure-Ground Image Segmentation helps Weakly-Supervised Learning of Objects Katerina Fragkiadaki and Jianbo Shi GRASP Laboratory, University of Pennsylvania 3330 Walnut St., Philadelphia, PA[removed]removed],j Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-12-11 22:58:28 Vision Segmentation Optics Kadir–Brady saliency detector One-shot learning Image processing Computer vision Imaging
765	Semi-Supervised Support Vector Machines Kristin P. Bennett∗ Department of Mathematical Sciences Rensselaer Polytechnic Institute Troy, NY[removed]removed] Add to Reading List Source URL: www1.cs.columbia.edu Language: English - Date: 2003-01-15 10:44:57 Mathematics Support vector machine Supervised learning Structural risk minimization Transduction Cross-validation Mathematical optimization Vector space Quadratic programming Statistics Algebra Machine learning
766	NUCA Collaborative Research Projects Project Descriptions NUCA CRP Project Schedules and Descriptions 1 Add to Reading List Source URL: www.nicta.com.au Language: English - Date: 2015-02-17 17:28:08 Australian National University Academia Computer science Supervised learning Education Science NICTA Machine learning Data mining
767	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
768	Figure - Ground Image Segmentation Helps Weakly-Supervised Learning of Objects Katerina Fragkiadaki Problem Input: An image collection containing a common object Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-12-11 22:58:24 Imaging Computer vision Segmentation Caltech 101 Figure–ground Kadir–Brady saliency detector Bag of words model in computer vision Image processing Vision Optics
769	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
770	¨ t Augsburg Universita Active Improvement of Hierarchical Object Features under Budget Constraints Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2011-06-17 18:08:22 Artificial intelligence Learning Support vector machine Supervised learning Margin classifier Binary classification Active learning Boosting methods for object categorization Object categorization from image search Statistics Machine learning Statistical classification

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