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Feature vector
Results: 359

#	Item
31	Nonlinear Feature Selection with the Potential Support Vector Machine Sepp Hochreiter and Klaus Obermayer Technische Universit¨ at Berlin Fakult¨ Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:44:45 Support vector machines Statistical classification Feature selection Sequential minimal optimization Sepp Hochreiter Vector space Duality Least squares support vector machine Ranking SVM
32	Feature Mining for Image Classification Piotr Doll´ar1 Zhuowen Tu2 Hai Tao3 Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2007-04-26 14:53:10 Ensemble learning Statistical classification Machine learning AdaBoost Boosting Support vector machine Supervised learning Receiver operating characteristic Feature selection ViolaJones object detection framework CoBoosting
33	Online Learning of Structured Predictors with Multiple Kernels Andr´e F. T. Martins∗† Noah A. Smith∗ Eric P. Xing∗ Pedro M. Q. Aguiar‡ M´ario A. T. Figueiredo† ∗ ‡ † Add to Reading List Source URL: users.isr.ist.utl.pt Language: English - Date: 2011-05-11 04:48:52 Data mining Multiple kernel learning Statistical classification Machine learning Support vector machine Kernel method Feature selection Positive-definite kernel Kernel Structured prediction
34	Optical Character Recognition System for Amharic Documents Add to Reading List Source URL: cvit.iiit.ac.in Language: English - Date: 2015-08-05 03:17:19 Statistical classification Machine learning Artificial intelligence applications Pattern recognition Linear discriminant analysis Optical character recognition Feature extraction Support vector machine Amharic Linear classifier
35	JMLR: Workshop and Conference Proceedings 25:269–284, 2012 Asian Conference on Machine Learning On Using Nearly-Independent Feature Families for High Precision and Confidence Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-12-03 17:28:19 Statistical classification Machine learning Linear classifier Precision and recall Support vector machine Binary classification F1 score Supervised learning Classifier Probability distribution
36	2013 IEEE Intelligent Vehicles Symposium (IV) June 23-26, 2013, Gold Coast, Australia In-Vehicle Hand Activity Recognition Using Integration of Regions Eshed Ohn-Bar and Mohan Trivedi, Fellow, IEEE Add to Reading List Source URL: cvrr.ucsd.edu Language: English - Date: 2013-07-08 00:38:45 Feature detection Statistical classification Visual descriptor Feature Support vector machine Binary classification Speeded up robust features Histogram of oriented gradients
37	Classiﬁcation and Feature Selection on Matrix Data with Application to Gene-Expression Analysis Sepp Hochreiter Klaus Obermayer Fakult¨at f¨ Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2011-08-11 02:39:02 Linear algebra Vectors Numerical linear algebra Statistical classification Support vector machine Euclidean vector Basis Kernel Vector space Isotope lists 73-96
38	Deep Features to Classify Skin Lesions Jeremy Kawahara, A¨ıcha BenTaieb, and Ghassan Hamarneh Medical Image Analysis Lab, School of Computing Science, Simon Fraser University, Canada ABSTRACT Diagnosing an unknown skin Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2016-02-06 13:56:21 RTT Computational neuroscience Computer vision Convolutional neural network Deep learning ImageNet Melanoma Dermatoscopy Support vector machine Image segmentation K-nearest neighbors algorithm Feature
39	Pedestrian detection at 100 frames per second Rodrigo Benenson, Markus Mathias, Radu Timofte and Luc Van Gool ESAT-PSI-VISICS/IBBT, Katholieke Universiteit Leuven, Belgium Abstract Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2012-06-20 17:36:57 Feature detection Integral Channel Features Pedestrian detection Image segmentation AdaBoost Support vector machine ViolaJones object detection framework Histogram of oriented gradients
40	What matters: Size does, Smarts Don’t Albrecht Zimmermann and Bj¨orn Bringmann Department of Computer Science, Katholieke Universiteit Leuven, Celestijnenlaan 200A, 3001 Leuven, Belgium {Albrecht.Zimmermann,Bjorn.Brin Add to Reading List Source URL: www.ke.tu-darmstadt.de Language: English - Date: 2009-11-06 11:55:58 Model selection Machine learning Formal sciences Statistical classification Cross-validation Support vector machine Data mining Feature selection DM

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