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Feature recognition
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#	Item
11	MODELLING ACOUSTIC FEATURE DEPENDENCIES WITH ARTIFICIAL NEURAL NETWORKS: TRAJECTORY-RNADE Benigno Uria1 1 Iain Murray1 Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Computational linguistics Artificial intelligence Humancomputer interaction Academia Speech recognition Artificial neural network Acoustic model Time series Speech synthesis Pattern recognition Machine learning
12	¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool Add to Reading List Source URL: www.cvg.ethz.ch Language: English - Date: 2015-12-15 08:50:27 Artificial intelligence Statistics Machine learning Nonparametric statistics Statistical classification Feature detection Learning Histogram Naive Bayes classifier Outline of object recognition K-means clustering Bag-of-words model
13	3D Object Recognition in Clutter with the Point Cloud Library Federico Tombari, Ph.D University of Bologna Open Perception Add to Reading List Source URL: www.pointclouds.org Language: English - Date: 2014-07-21 10:46:28 Software Feature detection Computer vision Computer graphics 3D single-object recognition Point Cloud Library Outline of object recognition 3D modeling Printer Command Language Speeded up robust features Point cloud 2.5D
14	1 FACE-GRAB: Face Recognition with General Region Assigned to Binary Operator Archana Sapkota1 , Brian Parks1 , Walter Scheirer1,2 , Terrance Boult1,2 1 Add to Reading List Source URL: www.vast.uccs.edu Language: English - Date: 2011-02-20 11:48:24 Feature detection Face recognition Artificial intelligence Computer vision Vision Local binary patterns Image processing Biometrics FERET Outline of object recognition Facial recognition system Feature
15	Surveillance Event Detection Mert Dikmen, Huazhong Ning, Dennis J. Lin, Liangliang Cao, Vuong Le, Shen-Fu Tsai, Kai-Hsiang Lin, Zhen Li, Jianchao Yang, Thomas S. Huang Department of Electrical and Computer Engineering Un Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2010-07-25 04:16:41 Artificial intelligence Computer vision Image processing Feature detection Statistical theory Conference on Computer Vision and Pattern Recognition Conditional random field Optical flow Edge detection Thomas Huang Activity recognition Loss function
16	Int. J. Patt. Recogn. Artif. Intell:Downloaded from www.worldscientific.com by NATIONAL CHIAO TUNG UNIVERSITY onFor personal use only. International Journal of Pattern Recognition and Artiﬁ Add to Reading List Source URL: debut.cis.nctu.edu.tw Language: English - Date: 2013-07-12 03:09:44 Feature detection Vision Eye Face recognition Human body Human physiology Human skin color Eye color Face detection Edge detection Perception
17	Published at International Joint Conference on Neural Networks (IJCNN), 2015 Recurrent Convolutional Neural Networks for Object-Class Segmentation of RGB-D Video Mircea Serban Pavel, Hannes Schulz, and Sven Behnke Unive Add to Reading List Source URL: www.ais.uni-bonn.de Language: English - Date: 2015-08-14 09:34:45 Artificial neural networks Neuroscience Cybernetics Artificial intelligence Convolutional neural network Recurrent neural network Image segmentation Speech recognition Receptive field Feature learning Rectifier Biological neural network
18	Learning Multi-scale Block Local Binary Patterns for Face Recognition Shengcai Liao, Xiangxin Zhu, Zhen Lei, Lun Zhang, and Stan Z. Li Center for Biometrics and Security Research & National Laboratory of Pattern Recognit Add to Reading List Source URL: www.cbsr.ia.ac.cn Language: English - Date: 2007-09-09 11:28:31 Artificial intelligence Feature detection Machine learning Face recognition Local binary patterns Ensemble learning Learning Local ternary patterns
19	CHARACTER SEGMENTATION FOR HANDWRITTEN BANGLA WORDS USING ARTIFICIAL NEURAL NETWORK T. K. Bhowmik # , A. Roy * and U. Roy * # IBM Global Services Pvt Ltd, Embassy Golf Link, Bangalore, INDIA. Add to Reading List Source URL: www.dsi.unifi.it Language: English - Date: 2009-12-17 04:49:48 Artificial intelligence Computer vision Feature detection Image processing Vision Artificial intelligence applications Image segmentation Market segmentation Hough transform Optical character recognition Feature extraction Binary image
20	FEATURE: INTRODUCED SPECIES The Bait Industry as a Potential Vector for Alien Crayfish Introductions: Problem Recognition by Fisheries Agencies and a Missouri Evaluation Jim Rathert, Missouri Department of Conservation Add to Reading List Source URL: www.mostreamteam.org Language: English - Date: 2009-12-04 11:06:54 Cambaridae Fishing Biota Fauna of the United States Orconectes Rusty crayfish Crayfish Fishing bait Procambarus clarkii Bait fish Procambarus Angling