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Object recognition
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221	Tjan B.SObject Recognition. In Arbib M. (Ed.), The Handbook of Brain Theory and Neural Networks, 2nd Ed. (ppCambridge, MA: MIT Press. Object Recognition Bosco S. Tjan Introduction Add to Reading List Source URL: tlab.usc.edu Language: English - Date: 2015-10-28 01:46:49
222	PSYCHOLOGICAL SCIENCE Research Article VIEWPOINT DEPENDENCE IN VISUAL AND HAPTIC OBJECT RECOGNITION Fiona N. Newell,1 Marc O. Ernst,2 Bosco S. Tjan,3 and Heinrich H. Bu¨lthoff2 Add to Reading List Source URL: tlab.usc.edu Language: English - Date: 2015-10-28 01:46:49
223	20th International Conference on Artificial Neural Networks (ICANN), Thessaloniki, Greece, SeptemberEvaluation of Pooling Operations in Convolutional Architectures for Object Recognition Dominik Scherer, Andreas M Add to Reading List Source URL: www.ais.uni-bonn.de Language: English - Date: 2010-07-26 09:50:41 Computational neuroscience Science Cerebrum Computational statistics Computer vision Histogram of oriented gradients Artificial neural network Yann LeCun Visual cortex Anatomy Neural networks Neuroscience
224	Project Ideas Fine-grained Categorization of Wild Animals ‘in the Wild’  Build a web demo for fine-grained categorization of animals and/or their activities. You can consider a subset of images and classes of the Add to Reading List Source URL: rogerioferis.com Language: English - Date: 2014-02-07 23:32:21 Computational neuroscience Object recognition Face detection Object detection Serengeti National Park Part-based models Neural network Computer vision California Institute of Technology Caltech 101
225	A Hierarchical Field Framework for Unified Context-Based Classification Sanjiv Kumar and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA, {skumar, hebert}@ri.cmu.edu Abstract Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:50:20 Vision Imaging Bayesian statistics Object recognition Segmentation Maximum likelihood Finitary relation Bayesian network One-shot learning Computer vision Image processing Statistics
226	Multiclass Discriminative Fields for Parts-Based Object Detection Sanjiv Kumar and Martial Hebert The Robotics Institute Carnegie Mellon University Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:50:50 Imaging Object recognition Initial and terminal objects Conditional random field One-shot learning Computer vision Vision Artificial intelligence
227	arXiv:1412.1441v2 [cs.CV] 26 FebScalable, High-Quality Object Detection Christian Szegedy Google Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-02-26 20:57:33 Artificial intelligence Imaging Computational neuroscience Machine learning Network architecture Neural network Statistical classification Segmentation Object recognition Computer vision Image processing Vision
228	Unsupervised Learning of Visual Taxonomies Evgeniy Bart Caltech Pasadena, CAIan Porteous Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2009-08-26 01:06:20 Statistical natural language processing Statistical models Computer vision Object recognition Latent Dirichlet allocation One-shot learning Mixture model Dirichlet process Graphical model Statistics Artificial intelligence Machine learning
229	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
230	Matching Slides To Presentation Videos Using SIFT and Scene Background Matching Quanfu Fan Kobus Barnard Add to Reading List Source URL: kobus.ca Language: English - Date: 2006-08-06 01:44:45 Imaging Photography Presentation Slide show Object recognition RANSAC Scale-invariant feature transform Statistics Computer vision Vision

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