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One-shot learning
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#	Item
21	Multiclass Discriminative Fields for Parts-Based Object Detection Sanjiv Kumar and Martial Hebert The Robotics Institute Carnegie Mellon University Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:50:50 Imaging Object recognition Initial and terminal objects Conditional random field One-shot learning Computer vision Vision Artificial intelligence
22	Tabula Rasa: Model Transfer for Object Category Detection Yusuf Aytar Andrew Zisserman Department of Engineering Science University of Oxford {yusuf,az}@robots.ox.ac.uk Add to Reading List Source URL: www.robots.ox.ac.uk Language: English - Date: 2011-08-18 18:19:28 Statistical classification Computer vision Support vector machine Learning Histogram of oriented gradients Silicon Valley Microelectronics One-shot learning Stochastic gradient descent Hinge loss Machine learning Statistics Artificial intelligence
23	Unsupervised Learning of Visual Taxonomies Evgeniy Bart Caltech Pasadena, CAIan Porteous Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2009-08-26 01:06:20 Statistical natural language processing Statistical models Computer vision Object recognition Latent Dirichlet allocation One-shot learning Mixture model Dirichlet process Graphical model Statistics Artificial intelligence Machine learning
24	Bayesian Sets Zoubin Ghahramani∗ and Katherine A. Heller Gatsby Computational Neuroscience Unit University College London London WC1N 3AR, U.K. Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2006-01-13 14:27:22 Machine learning Statistical inference Data mining Bayesian inference Cluster analysis Prior probability Information retrieval Expectation–maximization algorithm One-shot learning Statistics Bayesian statistics Statistical theory
25	Introduction Method Experiments Conclusions Exploiting Information Theory for Filtering the Add to Reading List Source URL: www.rvg.ua.es Language: English - Date: 2007-06-21 16:57:24 Estimation theory Statistical inference Signal processing Bayesian spam filtering Kadir–Brady saliency detector One-shot learning Statistics Computer vision Image processing
26	Maximum Likelihood Estimation & Gamma-ray Spectral Analysis David C. Y. Hui Department of Astronomy & Space Science Chungnam National University Add to Reading List Source URL: www.physics.hku.hk Language: English - Date: 2010-06-23 23:34:06 Bayesian statistics Maximum likelihood Likelihood function One-shot learning Expectation–maximization algorithm Estimation theory Statistics Statistical theory
27	Tensor Analyzers Yichuan Tang Ruslan Salakhutdinov Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-05-13 22:23:10 Binary operations Tensor product Tensor Z3 Expectation–maximization algorithm One-shot learning Vehicle Identification Number Computing Statistics Mathematics Tensors
28	Published in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2000 Learning from One Example Through Shared Densities on Transforms Erik G. Miller and Nicholas E. Matsakis and Paul A. Viola Add to Reading List Source URL: www.ai.mit.edu Language: English - Date: 2002-08-23 18:58:19 Statistical classification Learning Entropy Pattern recognition Support vector machine One-shot learning Statistics Machine learning Artificial intelligence
29	PDF Document Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-11-26 14:29:25 Dimensional analysis Pattern recognition Science Learning Machine learning One-shot learning Artificial intelligence
30	PDF Document Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-11-26 14:29:24 One-shot learning Supervised learning Logistic regression Pattern recognition Statistical classification Hierarchical Bayes model Statistics Machine learning Artificial intelligence