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Feature vector
Results: 359

#	Item
61	CoDeL: A Human Co-detection and Labeling Framework Jianping Shi∗ Renjie Liao∗ Jiaya Jia The Chinese University of Hong Kong {jpshi, rjliao, leojia}@cse.cuhk.edu.hk Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English - Date: 2013-10-03 11:58:13 Artificial intelligence Statistical classification Support vector machine Pedestrian detection Ensemble learning Feature detection
62	Journal of Machine Learning Research2517 Submitted 4/12; Revised 3/13; Published 9/13 Greedy Feature Selection for Subspace Clustering Eva L. Dyer Add to Reading List Source URL: jmlr.org Language: English - Date: 2013-09-17 20:27:23 Algebra Mathematics Linear algebra Functional analysis Operator theory Differential geometry Linear subspace Grassmannian Subspace topology Orthogonality Dual space Vector space
63	Genome Informatics 16(2): 195–Diagnosis of Early Relapse in Ovarian Cancer Using Serum Proteomic Profiling Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2005-12-28 06:18:56 Learning Machine learning Statistics Statistical classification Support vector machine Model selection Surface-enhanced laser desorption/ionization Feature selection Mass spectrometry Kernel method Ovarian cancer
64	High-Level Fusion of Depth and Intensity for Pedestrian Classification Marcus Rohrbach1,3 , Markus Enzweiler2 and Dariu M. Gavrila1,4 1 Environment Perception, Group Research, Daimler AG, Ulm, Germany Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Feature detection Machine learning Ensemble learning Statistical classification Histogram of oriented gradients Support vector machine AdaBoost Pattern recognition Classifier Edge detection Pedestrian detection
65	A Survey of Feature Location Techniques Julia Rubin and Marsha Chechik Abstract Feature location techniques aim at locating software artifacts that implement a specific program functionality, a.k.a. a feature. These tech Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-11-01 02:00:44 Latent semantic indexing Tf*idf Vector space model Feature recognition Specific Area Message Encoding Mind map Information science Information retrieval Science
66	An Introduction to Feature Extraction Isabelle Guyon1 and Andr´e Elisseeff2 1 2 ClopiNet, 955 Creston Rd., Berkeley, CA 94708, USA. Add to Reading List Source URL: clopinet.com Language: English - Date: 2006-10-19 12:27:10 Dimension reduction Model selection Computer vision Feature selection Support vector machine Kernel methods Feature extraction Training set Cross-validation Statistics Machine learning Artificial intelligence
67	(C) In the proceedings of the ``European Conf. on Multimedia Applications, Services and Techniques - ECMAST; Louvain-la-Neuve, 28-30 May, 1996'' Multi-modal person verication tools using speech and images M. Acheroy Add to Reading List Source URL: stephanepigeon.com Language: English - Date: 2013-06-12 04:54:42 Statistics Face recognition Computer vision Automatic identification and data capture Machine learning Facial recognition system Dynamic time warping Face Feature vector Image processing Mathematics Artificial intelligence
68	IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 26, NO. 4, APRILClassification Based on Cortical Folding Patterns Edouard Duchesnay, Arnaud Cachia, Alexis Roche, Denis Rivière, Yann Cointepas, Add to Reading List Source URL: brainvisa.info Language: English* - Date: 2012-12-13 03:57:45 Multivariate statistics Model selection Brain Linear discriminant analysis Sulcus Linear classifier Cross-validation Feature selection Support vector machine Statistics Machine learning Statistical classification
69	Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition Marc’Aurelio Ranzato, Fu Jie Huang, Y-Lan Boureau, Yann LeCun Courant Institute of Mathematical Sciences, New York Universi Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2009-08-08 18:43:08 Neural networks Learning Statistical classification Pattern recognition Supervised learning Autoencoder Unsupervised learning Caltech 101 Support vector machine Machine learning Statistics Artificial intelligence
70	Poster: Automatically Evading Classifiers A Case Study on Structural Feature-based PDF Malware Classifiers Weilin Xu, Yanjun Qi, and David Evans University of Virginia {xuweilin, yanjun, evans}@virginia.edu Abstract—Ma Add to Reading List Source URL: www.ieee-security.org Language: English - Date: 2015-05-11 16:42:34 Machine learning Artificial intelligence Malware Classifier Learning Support vector machine Ensemble learning Statistics Statistical classification Parts of speech

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