Pattern Recognition - PDFSEARCH.IO - Document Search Engine

Pattern Recognition
Results: 1666

#	Item
281	Discovering Relative Motion Patterns in Groups of Moving Point Objects Patrick Laube, Stephan Imfeld, Robert Weibel Department of Geography University of Zurich WinterthurerstrasseZurich, Switzerland Add to Reading List Source URL: www.geo.uzh.ch Language: English - Date: 2009-12-04 11:20:08 Machine learning Pattern matching Regular expression Pattern recognition
282	Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning † Joel C. McCall† , David Wipf‡ , Mohan M. Trivedi† , Bhaskar Rao‡ Add to Reading List Source URL: cvrr.ucsd.edu Language: English - Date: 2010-08-06 19:23:53 Lane Intelligent transportation system Conference on Computer Vision and Pattern Recognition Bayesian inference
283	JMLR: Workshop and Conference Proceedings–25 2nd Workshop on Applications of Pattern Analysis Streaming Multi-label Classification Jesse Read Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2011-10-20 12:17:30 Machine learning Statistical classification Data mining Classifier chains Multi-label classification Concept drift Boosting Massive Online Analysis Data stream mining Pattern recognition Binary classification Naive Bayes classifier
284	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 12, DECEMBER 2003 Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2004-10-04 17:01:00 Terrestrial locomotion Walking Biometrics Gait analysis Rehabilitation medicine Gait Horse gait K-nearest neighbors algorithm Principal component analysis Pattern recognition Bipedal gait cycle Canine gait
285	PDF Document Add to Reading List Source URL: thomas.deselaers.de Language: English - Date: 2014-10-11 09:29:37 Statistical classification Support vector machines Machine learning Computational linguistics Hinge loss Speech recognition Finite-state transducer Semiring Valuation Loss function Pattern recognition
286	Unconstrained Face Alignment via Cascaded Compositional Learning Shizhan Zhu1,2 Cheng Li2 Chen Change Loy1,3 Xiaoou Tang1,3 1 Department of Information Engineering, The Chinese University of Hong Kong 2 SenseTime Group L Add to Reading List Source URL: personal.ie.cuhk.edu.hk Language: English - Date: 2016-04-11 03:36:21 IEEE conferences Face recognition Econometrics Regression analysis International Conference on Computer Vision FERET Conference on Computer Vision and Pattern Recognition Errors and residuals
287	Efficient Object Detection and Segmentation with a Cascaded Hough Forest ISM Konstantinos Rematas ESAT-PSI / IBBT K.U. Leuven Bastian Leibe Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2012-01-25 13:15:28 IEEE conferences Feature detection Image processing Hough transform Image segmentation Outline of object recognition Conference on Computer Vision and Pattern Recognition Hough International Conference on Computer Vision
288	August 8, :30 WSPC/115-IJPRAIInternational Journal of Pattern Recognition and Artificial Intelligence Vol. 16, No–619 Add to Reading List Source URL: debut.cis.nctu.edu.tw Language: English - Date: 2013-07-12 03:09:44 Image processing Computer vision Computer graphics Color space Image search Color histogram RGB color model Content-based image retrieval Pixel Edge detection
289	Microsoft Word - IBSNew_Trends_in_iTECH-final Add to Reading List Source URL: foibg.com Language: English - Date: 2015-02-02 08:46:12 Machine learning Statistical classification Actuarial science Formal sciences Statistical theory Risk Linear classifier Pattern recognition Statistics Expected value Loss function Value at risk
290	Using Pre-Trained Models for Fine-Grained Image Classification in Fashion Field Anna Iliukovich-Strakovskaia Alexey Dral Add to Reading List Source URL: kddfashion2016.mybluemix.net Language: English - Date: 2016-08-14 10:56:50 Machine learning Deep learning Convolutional neural network Pattern recognition Artificial neural network Computer vision Boosting Supervised learning Dimensionality reduction ImageNet Statistical classification Cross-validation