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Object detection
Results: 550

#	Item
241	Key properties of local features • Locality, robust against occlusions • Must be highly distinctive, a good feature should allow for correct object identification with low probability of mismatch • Easy to extract Add to Reading List Source URL: www.lira.dist.unige.it Language: English - Date: 2011-11-16 11:15:03 Mathematical analysis Vision Scale space Difference of Gaussians Scale-invariant feature transform Laplace operator Scale invariance Corner detection Invariant Computer vision Image processing Imaging
242	Caterpillar Integrated Object Detection System Add to Reading List Source URL: mines.industry.qld.gov.au Language: English - Date: 2013-12-10 00:27:48 Electronics Radar Technology Military science
243	S ECOND I NTERNATIONAL W ORKSHOP ON S TATISTICAL AND C OMPUTATIONAL T HEORIES OF Add to Reading List Source URL: www.lira.dist.unige.it Language: English - Date: 2011-12-08 18:16:21 Face recognition Ensemble learning Computer vision Statistical classification Viola–Jones object detection framework AdaBoost Face detection Boosting Perceptron Machine learning Artificial intelligence Statistics
244	Exemplars for Object Detection Noah Snavely CS7670: September 5, 2011 Announcements • Office hours: Thursdays 1pm – 2:30pm Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2011-09-06 18:22:45 Artificial intelligence Segmentation Histogram Computer vision Histogram of oriented gradients Statistics
245	Image Matching using Local Symmetry Features Daniel Cabrini Hauagge Noah Snavely Cornell University {hauagge,snavely}@cs.cornell.edu Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2012-06-03 17:02:52 Geometry Optics Feature detection Maximally stable extremal regions Object recognition Reflection symmetry Shape context Rotational symmetry Local symmetry Computer vision Symmetry Vision
246	LNCSKAZE Features Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2012-10-17 06:05:37 Vision Optics Scale space Gaussian function Feature detection Gaussian blur Noise reduction Difference of Gaussians Object recognition Image processing Computer vision Imaging
247	Context-Sensitive Decision Forests for Object Detection Peter Kontschieder1 Samuel Rota Bul`o2 Antonio Criminisi3 Pushmeet Kohli3 Marcello Pelillo2 Horst Bischof1 1 Add to Reading List Source URL: www.dsi.unive.it Language: English - Date: 2012-12-04 13:41:03 Learning Decision trees Computer vision Ensemble learning Random forest Supervised learning Function Hough transform Statistical classification Machine learning Artificial intelligence Mathematics
248	A Hierarchical Compositional System for Rapid Object Detection Long Zhu and Alan Yuille Department of Statistics University of California at Los Angeles Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-06-10 16:14:08 Image processing Optics Object recognition Segmentation Edge detection Graphical model Object detection QI Shape context Computer vision Vision Imaging
249	Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing Long (Leo) Zhu Department of Statistics University of California at Los Angeles Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-06-10 16:49:54 Artificial intelligence Graphical models Statistical models Bioinformatics Constellation model Expectation–maximization algorithm Conditional random field Bayesian network Supervised learning Statistics Machine learning Probability and statistics
250	IJIS: 14–35 / Digital Object Identiﬁer (DOIs102070100001 Intrusion and intrusion detection John McHugh CERT Coordination Center∗ , Software Engineering Institute, Carnegie Mellon University, Add to Reading List Source URL: www.icir.org Language: English - Date: 2014-02-03 21:40:14 Security Intrusion detection system Anomaly detection Vulnerability Attack Rootkit Threat Multics Snort Computer security Computer network security Cyberwarfare

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