Feature recognition - PDFSEARCH.IO - Document Search Engine

Feature recognition
Results: 683

#	Item
41	Multimed Tools Appl:53–73 DOIs11042An interactive flower image recognition system Tzu-Hsiang Hsu & Chang-Hsing Lee & Ling-Hwei Chen Add to Reading List Source URL: debut.cis.nctu.edu.tw Language: English - Date: 2013-07-12 03:09:44 Image processing Feature detection Image segmentation Computer vision Computer graphics Botany Boundary tracing Reproduction Edge detection Vision Color histogram Flower
42	Unsupervised Deep Embedding for Clustering Analysis Junyuan Xie University of Washington arXiv:1511.06335v2 [cs.LG] 24 May 2016 Add to Reading List Source URL: ai2-website.s3.amazonaws.com Language: English - Date: 2016-06-23 15:15:13 Machine learning Statistics Learning Cluster analysis Data analysis Multivariate statistics K-means clustering Feature learning Spectral clustering Deep learning Pattern recognition Dimensionality reduction
43	Proceedings - AutoCartoColumbus, Ohio, USA - September 16-18, 2012 An Agent-Based Approach to Point-Feature Label Placement Hyeyoung Kim and Ningchuan Xiao ABSTRACT: The goal of solving a point feature label pl Add to Reading List Source URL: www.cartogis.org Language: English - Date: 2012-11-06 14:47:17 Cartography Science Automatic label placement Operations research Cartographic labeling Map Algorithm Labeling theory Structure Label Mathematical optimization Pattern recognition
44	Discriminative Learning of Visual Words for 3D Human Pose Estimation Huazhong Ning1 Wei Xu2 Yihong Gong2 Thomas Huang1 1 Dept. of ECE, U. of Illinois at Urbana-Champaign, USA. {hning2,huang}@ifp.uiuc.edu. 2 NEC Laborator Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2008-04-06 01:59:43 Computer vision Artificial intelligence Vision Robot control Conference on Computer Vision and Pattern Recognition Bag-of-words model in computer vision Outline of object recognition Pose Visual Word Visual descriptor Feature detection KadirBrady saliency detector
45	Difficult Detection: A Comparison of Two Different Approaches to Eye Detection for Unconstrained Environments Walter J. Scheirer1,2 Anderson Rocha3 Add to Reading List Source URL: www.vast.uccs.edu Language: English - Date: 2010-10-23 12:03:48 Feature detection Artificial intelligence Face recognition Learning Surveillance Pattern recognition FERET Facial recognition system ViolaJones object detection framework Histogram of oriented gradients
46	Journal of Machine Learning Research Submitted 5/06; Revised 10/06; Published 3/07 Consistent Feature Selection for Pattern Recognition in Polynomial Time Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2007-03-15 15:29:20 Mathematical analysis Statistics Analysis Statistical classification Functional analysis Generalized functions Bayes classifier Expected value Normal distribution Distribution Limit of a function Naive Bayes classifier
47	AUDIOVISUAL CONCATENATIVE SYNTHESIS Nick Collins University of Sussex Department of Informatics ABSTRACT Add to Reading List Source URL: composerprogrammer.com Language: English - Date: 2014-05-01 12:39:39 Learning Computational linguistics Visual arts Artificial intelligence Automatic identification and data capture Computer accessibility Speech recognition Image segmentation Audiovisual Feature vector
48	November 22, :19 WSPC/115-IJPRAIInternational Journal of Pattern Recognition and Artificial Intelligence Vol. 15, No–1250 Add to Reading List Source URL: debut.cis.nctu.edu.tw Language: English - Date: 2013-07-12 03:09:44 Image segmentation Signal processing Image processing Feature detection Vision Region growing Artificial intelligence Thresholding Wavelet Image histogram
49	Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories Svetlana Lazebnik1 Cordelia Schmid2 Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2009-12-10 12:54:21 Computer vision Vision Artificial intelligence Image processing Feature detection Pyramid Outline of object recognition International Conference on Computer Vision Speeded up robust features Histogram Caltech 101 Bag-of-words model in computer vision
50	Difficult Detection: A Comparison of Two Different Approaches to Eye Detection for Unconstrained Environments Walter J. Scheirer1,2 Anderson Rocha3 Add to Reading List Source URL: vast.uccs.edu Language: English - Date: 2010-10-23 12:03:48 Feature detection Artificial intelligence Face recognition Learning Surveillance Pattern recognition FERET Facial recognition system ViolaJones object detection framework Histogram of oriented gradients

UPDATE