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Boosting methods for object categorization
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91	C:/Research Work/Papers/Ciaramello/VPQM 09/VPQM 09.dvi Add to Reading List Source URL: mobileasl.cs.washington.edu Language: English - Date: 2011-02-23 17:00:34 Face recognition Image processing Face detection Segmentation Local binary patterns Statistical classification Connected-component labeling Viola–Jones object detection framework Boosting methods for object categorization Computer vision Vision Artificial intelligence
92	A Multiview Face Identification Model With No Geometric Constraints Jerry Jun Yokono † Tomaso Poggio‡ †Sony Intelligence Dynamics Laboratories, Inc. Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2006-03-31 08:46:36 Imaging Ensemble learning Computer vision Machine learning Statistical classification AdaBoost Viola–Jones object detection framework Boosting methods for object categorization Face detection Artificial intelligence Face recognition Vision
93	massachusetts institute of technology — computer science and artificial intelligence laboratory Component Based Recognition of Objects in an Office Environment Christian Morgenstern and Bernd Heisele Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2004-10-06 13:53:09 Ensemble learning Machine learning AdaBoost Classifier Linear classifier Receiver operating characteristic Support vector machine Boosting methods for object categorization Histogram of oriented gradients Statistics Statistical classification Artificial intelligence
94	massachusetts institute of technology — computer science and artificial intelligence laboratory A New Biologically Motivated Framework for Robust Object Recognition Thomas Serre, Lior Wolf and Tomaso Poggio Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2005-02-02 13:01:24 Computer vision One-shot learning Object recognition Support vector machine Visual cortex Object database Constellation model Statistical classification Boosting methods for object categorization Artificial intelligence Vision Optics
95	Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR[removed]CBCL-289 July 29, 2010 Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2010-08-23 14:15:28 Neural networks Ethology Cognitive science Functional magnetic resonance imaging Neuroimaging Boosting methods for object categorization Neural decoding Science Computational neuroscience Neuroscience
96	massachusetts institute of technology — computer science and artificial intelligence laboratory Error Weighted Classifier Combination for Multi-modal Human Identification Yuri Ivanov, Thomas Serre, Jacob Bouvrie Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2005-12-21 14:42:51 Learning classifier system Support vector machine Classifier Receiver operating characteristic Perceptron Boosting methods for object categorization Statistics Statistical classification Machine learning
97	Cognitive Science Online, Vol.3.2, pp.1-14, 2005 http://cogsci-online.ucsd.edu Analysis of a Biologically-Inspired System for Real-time Object Recognition Add to Reading List Source URL: cogsci-online.ucsd.edu Language: English - Date: 2005-10-31 03:07:06 Imaging Image processing Object recognition Hough transform Object database Color Pose Boosting methods for object categorization Computer vision Vision Optics
98	Towards Face Unlock: On the Difficulty of Reliably Detecting Faces on Mobile Phones Rainhard D. Findling Rene Mayrhofer Add to Reading List Source URL: www.usmile.at Language: English - Date: 2014-04-22 08:25:36 Face detection Eigenface Facial recognition system OpenCV Three-dimensional face recognition Haar-like features Boosting methods for object categorization Affective computing Computer vision Face recognition Artificial intelligence
99	A Novel Feature Selection Strategy for Enhanced Biomedical Event Extraction Using the Turku System Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Dimension reduction Machine learning Statistical classification Feature Classifier Precision and recall Support vector machine Boosting methods for object categorization Statistics Computer vision Image processing
100	A review of data complexity measures and their applicability to pattern classification problems J. M. Sotoca, J. S. Sánchez, R. A. Mollineda Add to Reading List Source URL: www.lsi.us.es Language: English - Date: 2005-08-22 12:32:56 Artificial intelligence Linear classifier Classification rule Classifier Supervised learning Pattern recognition Feature selection Classification in machine learning Boosting methods for object categorization Statistics Machine learning Statistical classification

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