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Feature vector
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#	Item
311	Generalized LARS as an Eﬀective Feature Selection Tool for Text Classiﬁcation With SVMs S. Sathiya Keerthi Yahoo! Research Labs, 210 S. DeLacey Avenue, Pasadena, CA[removed]Abstract Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:03 Least-angle regression Gauss–Markov theorem Feature selection Regression analysis Statistics Statistical classification Support vector machine
312	Writer Recognition by Computer Vision Jeffrey P. Woodard M ITRE CO RP Christopher P. Saunders M ITRE Mark J. Lancaster US G Add to Reading List Source URL: www.nist.gov Language: English - Date: 2013-06-05 08:35:14 Artificial intelligence Vector quantization Segmentation Feature Histogram K-means clustering Bag of words model in computer vision Scale-invariant feature transform Computer vision Image processing Statistics
313	KERNEL/FEATURE SELECTION FOR SUPPORT VECTOR MACHINES APPLIED TO MATERIALS DESIGN 1 Shawn Martin, Michael Kirby, Rick Miranda Department of Mathematics Add to Reading List Source URL: www.sandia.gov Language: English - Date: 2013-12-09 16:26:39 Linear algebra Operator theory Statistical classification Linux Linux kernel Kernel Support vector machine Projection Vector space Algebra Mathematics Statistics
314	Classifying Covert Photographs Haitao Lang1,2 Haibin Ling2 1 Dept. of Physics & Electronics, Beijing University of Chemical Technology, Beijing, China, [removed] Add to Reading List Source URL: www.dabi.temple.edu Language: English - Date: 2012-03-16 23:35:14 Vision Classifier HSL and HSV Support vector machine Geographic information system Statistical classification Feature Visual descriptors Computer vision Statistics Artificial intelligence
315	370 TUGboat, Volume[removed]), No. 4 out about new or upgraded packages, as well as continuing (in future editions) to feature packages that deal with speciﬁc topics. It also seemed only logical to include an overview Add to Reading List Source URL: tug.org Language: English - Date: 2001-05-07 14:37:46 Donald Knuth Digital typography TeX Vector graphics markup languages LaTeX MetaPost ConTeXt Metafont Device independent file format Software Computing Application software
316	Appendix B Appendix B contains trellis plots of feature vector components of right index fingerprints of dataset DOS-C generated by NFIS and normalized match scores of vendor F. Green circles represent samples that are m Add to Reading List Source URL: biometrics.nist.gov Language: English - Date: 2004-10-22 14:41:09 Human anatomy Identification Biometrics Fingerprints Fingers
317	Learning Convolutional Feature Hierarchies for Visual Recognition Koray Kavukcuoglu1 , Pierre Sermanet1 , Y-Lan Boureau2,1 , Karol Gregor1 , Micha¨el Mathieu1 , Yann LeCun1 1 Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2010-11-26 14:15:40 Statistical classification Error detection and correction Yann LeCun Linear classifier Matching pursuit Supervised learning Unsupervised learning Caltech 101 Support vector machine Statistics Artificial intelligence Machine learning
318	Discovering Support and Affiliated Features from Very High Dimensions Yiteng Zhai YZHAI 1@ NTU . EDU . SG Mingkui Tan TANM 0097@ NTU . EDU . SG Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:28 Dimension reduction Feature selection Statistical classification Support vector machine Symbol Mutual information Correlation and dependence Pearson product-moment correlation coefficient Statistics Covariance and correlation Model selection
319	THE PERILS OF IGNORING DATA SUITABILITY The Suitability of Data Used to Train Neural Networks Deserves More Attention Kevin Swingler Computing and Maths, University of Stirling, Stirling, FK9 4LA, Scotland [removed] Add to Reading List Source URL: www.cs.stir.ac.uk Language: English - Date: 2011-08-23 06:20:49 Data mining Computational neuroscience Neural networks Data analysis Artificial neural network Decision tree learning Feature selection Algorithm Support vector machine Statistics Machine learning Science
320	Feature weighting using margin and radius based error bound optimization in SVMs Huyen Do and Alexandros Kalousis and Melanie Hilario University of Geneva, Computer Science Department, 7 Route De Drize, 1227, Carouge, Sw Add to Reading List Source URL: www.debugit.eu Language: English - Date: 2011-12-01 04:58:26 Support vector machines Statistics Statistical classification Feature scaling

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