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Feature recognition
Results: 683

#	Item
321	Training-based Object Recognition in Cluttered 3D Point Clouds Guan Pang Department of Computer Science University of Southern California Los Angeles, CA, USA [removed] Add to Reading List Source URL: graphics.usc.edu Language: English - Date: 2013-07-23 02:24:33 Optics 3D single object recognition 3D scanner Object recognition Haar-like features 3D modeling Hough transform Photogrammetry Scale-invariant feature transform Computer vision Vision Imaging
322	Spatial Priors for Part-Based Recognition using Statistical Models David Crandall1 Cornell University [removed] Pedro Felzenszwalb Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2005-04-11 14:45:39 Image processing Artificial intelligence Estimation theory Object recognition Maximum likelihood Edge detection One-shot learning Scale-invariant feature transform Computer vision Vision Imaging
323	Inventor Intermediate Series Sheet Metal Design Description Description Autodesk Inventor 2013 Sheet Metal Design introduces the Add to Reading List Source URL: www.a2ktechnologies.com.au Language: English - Date: 2014-12-03 00:03:53 Piping Plumbing Sheet metal Autodesk Inventor Feature recognition Computer representation of surfaces Flange Manufacturing Engineering Metal forming Fabrication Technology
324	Detecting Objects in Scene Point Cloud: A Combinational Approach Jing Huang and Suya You University of Southern California Los Angeles, CA, USA {huang10,suya.you}@usc.edu Add to Reading List Source URL: graphics.usc.edu Language: English - Date: 2013-07-23 02:24:28 Imaging Optics Segmentation Object recognition 3D scanner Hough transform Heat kernel signature Shape context Feature Computer vision Image processing Vision
325	Feature Selection for Real-time Image Matching Systems Quan Wang and Suya You University of Southern California Los Angeles, USA {quanwang, suyay}@usc.edu Abstract Add to Reading List Source URL: graphics.usc.edu Language: English - Date: 2008-08-05 15:39:40 Optics Object recognition Feature selection Scale invariance Pattern Computer vision Vision Physics
326	MAV Urban Localization from Google Street View Data Andr´as L. Majdik, Yves Albers-Schoenberg, Davide Scaramuzza Abstract— We tackle the problem of globally localizing a camera-equipped micro aerial vehicle flying wit Add to Reading List Source URL: rpg.ifi.uzh.ch Language: English - Date: 2013-08-07 10:17:08 Imaging Scale-invariant feature transform Object recognition Algorithm RANSAC Google Computer vision Statistics Vision
327	80th Annual LSA Meeting—Albuquerque, NM 7 Jan 2006 Adam Albright [removed] Add to Reading List Source URL: web.mit.edu Language: English - Date: 2006-04-06 22:50:41 Natural language processing Computational linguistics Phonotactics Speech recognition Corpus linguistics Nonce word N-gram Bigram Feature Linguistics Phonology Science
328	Li Creative Technologies, Inc. Lead Investigator: Qi (Peter) Li, PI, Ph.D. in EE, Speech and speaker recognition, feature extraction, fast discriminative training Current research team members Add to Reading List Source URL: www.iarpa.gov Language: English - Date: 2014-03-06 18:49:41 Science Automatic identification and data capture Computer accessibility Human communication Echo cancellation Speech processing Pattern recognition Speech recognition Computational linguistics Humanâ€“computer interaction
329	Binatix, Inc. Snapshot  Binatix develops Sense Making software based on machine learning algorithms that mimic the human brain Add to Reading List Source URL: www.iarpa.gov Language: English - Date: 2014-03-06 18:49:35 Dimension reduction Feature extraction Pattern recognition HM Artificial intelligence Science Statistics Computer vision Formal sciences Machine learning
330	Multi-scale Conditional Random Fields for First-Person Activity Recognition Kai Zhan† Steven Faux∗ Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:43 Applied mathematics Accelerometer Conditional random field Bayesian network Markov random field Activity recognition Activities of daily living Feature recognition Object recognition Graphical models Statistics Medicine

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