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Unsupervised learning
Results: 431

#	Item
311	Microsoft Word - trecvid06-28Feb2007-20h.doc Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2007-03-13 13:55:49 Image processing Unsupervised learning K-means clustering Segmentation Red Digital Cinema Camera Company Statistics Artificial intelligence Learning Video processing Shot transition detection Machine learning
312	Geodesic Flow Kernel for Unsupervised Domain Adaptation Boqing Gong, Yuan Shi, Fei Sha Dept. of Computer Science U. of Southern California Kristen Grauman Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2012-04-20 00:44:49 Multivariate statistics Functional analysis Machine learning Linear operators Principal component analysis .mobi Dimension reduction Projection Vector space Algebra Mathematics Linear algebra
313	Unsupervised Kernel Dimension Reduction Meihong Wang Dept. of Computer Science U. of Southern California Los Angeles, CA 90089 Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:02 Dimension reduction Nonlinear dimensionality reduction Kernel principal component analysis Principal component analysis Supervised learning Sliced inverse regression Sufficient dimension reduction Gaussian function Projection Statistics Mathematics Multivariate statistics
314	Efficient algorithms for estimating multi-view mixture models Daniel Hsu Microsoft Research, New England Outline Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:21 Learning Unsupervised learning Mixture model Mixture distribution Machine learning Statistics Artificial intelligence
315	Learning Mixtures of Spherical Gaussians: Moment Methods and Spectral Decompositions Daniel Hsu and Sham M. Kakade Microsoft Research, New England Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:21 Computational statistics Mixture model Supervised learning Unsupervised learning Machine learning Statistics Artificial intelligence
316	Unsupervised Structure Prediction with Non-Parallel Multilingual Guidance Shay B. Cohen Dipanjan Das Noah A. Smith Language Technologies Institute School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-06-21 13:09:56 Machine learning Estimation theory Corpus linguistics Markov models Bioinformatics Mixture model Expectation–maximization algorithm Part-of-speech tagging Stochastic context-free grammar Statistics Probability and statistics Natural language processing
317	Unsupervised Joint Alignment of Complex Images Gary B. Huang Vidit Jain University of Massachusetts Amherst Amherst, MA Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2007-08-16 16:21:23 Computer vision Face recognition Eigenface Face detection Image processing One-shot learning Vision Artificial intelligence Imaging
318	Unsupervised Multilingual Learning for Morphological Segmentation Benjamin Snyder and Regina Barzilay Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology {bsnyder,regina}@csail.m Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-05-11 14:02:12 Morpheme Morphology Language Inflection Root Russian orthography Text segmentation Semitic languages Linguistics Grammar Linguistic morphology
319	Building High-level Features Using Large Scale Unsupervised Learning [removed] [removed] [removed] Add to Reading List Source URL: static.googleusercontent.com Language: English - Date: 2012-06-13 18:47:39 Computational neuroscience Learning Neural networks Cybernetics Network architecture Caltech 101 Supervised learning Pattern recognition Unsupervised learning Machine learning Artificial intelligence Science
320	Combinatorial Markov Random Fields Ron Bekkerman1 , Mehran Sahami2 , and Erik Learned-Miller1 1 Department of Computer Science, University of Massachusetts, Amherst MA 01002, {ronb\|elm}@cs.umass.edu, Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:23 Cluster analysis Expectation–maximization algorithm Mutual information Unsupervised learning Statistical classification Semi-supervised learning Gibbs sampling Consensus clustering Adjusted mutual information Statistics Machine learning Computational statistics

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