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One-shot learning
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101	Noname manuscript No. (will be inserted by the editor) Background Subtraction - Separating the Modeling and the Inference Manjunath Narayana · Allen Hanson · Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2013-10-13 21:03:15 Probability and statistics Computer graphics Pixel Segmentation Likelihood function Mixture model Image resolution Prior probability One-shot learning Image processing Statistics Bayesian statistics
102	Joint Feature Selection for Object Detection and Recognition Jerod J. Weinman, Allen Hanson, and Erik Learned-Miller {weinman,hanson,elm}@cs.umass.edu Department of Computer Science University of Massachusetts-Amherst Am Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:37 Artificial intelligence Image processing Machine learning Object recognition Linear discriminant analysis Cross-validation Template matching One-shot learning Boosting methods for object categorization Computer vision Statistics Vision
103	Learning Hyper-Features for Visual Identification Andras Ferencz Erik G. Learned-Miller Jitendra Malik Computer Science Division, EECS Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:19 One-shot learning Artificial intelligence Object recognition Prior probability Patch Kullback–Leibler divergence Mutual information Statistics Computer vision Probability and statistics
104	Building a Classification Cascade for Visual Identification from One Example Andras Ferencz Computer Science, U.C. Berkeley [removed] Erik G. Learned-Miller Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:29 Computer vision One-shot learning Transdermal patch Diff Patch Object recognition Bag of words model in computer vision Computing System software Software
105	NARAYANA, HANSON, LEARNED-MILLER: BMVC[removed]Improvements in Joint Domain-Range Modeling for Background Subtraction Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2012-12-27 22:42:49 Bayesian statistics Digital geometry Digital imaging Pixel Likelihood function Signal processing Statistics One-shot learning Image processing Computer graphics Digital photography
106	Salient Object Detection for Searched Web Images via Global Saliency Peng Wang1 Jingdong Wang2 Gang Zeng1 Jie Feng1 Hongbin Zha1 Shipeng Li2 1 Key Laboratory on Machine Perception, Peking University 2 Microsoft Research Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2012-03-30 05:59:33 Segmentation R-tree Minimum bounding box Vision Optics Kadir–Brady saliency detector One-shot learning Image processing Computer vision Imaging
107	ImageNet: A Large-Scale Hierarchical Image Database Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li and Li Fei-Fei Dept. of Computer Science, Princeton University, USA {jiadeng, wdong, rsocher, jial, li, feifeili}@ Add to Reading List Source URL: www.image-net.org Language: English - Date: 2011-11-22 00:36:06 Imaging Computational linguistics WordNet Computer vision LabelMe Image processing One-shot learning Synonym ring ESP game Artificial intelligence Knowledge representation Vision
108	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition arXiv:1310.1531v1 [cs.CV] 6 Oct[removed]Jeff Donahue∗ , Yangqing Jia∗ , Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-10-07 20:25:05 Cross-validation Support vector machine Perceptual learning Statistics Model selection One-shot learning
109	Approaches to Representing and Recognizing Objects Visual Classification CMSC 828J – David Jacobs What the course is about Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2009-01-29 11:46:24 Categorization Mind Philosophy Concept One-shot learning Semantics Cognition Knowledge representation
110	PDF Document Add to Reading List Source URL: portal.tugraz.at Language: English Statistical theory Bayesian inference Statistical forecasting Estimation theory Variational Bayesian methods Minimum description length Bayesian network One-shot learning Statistics Bayesian statistics Statistical inference

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