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Image segmentation
Results: 2050

#	Item
251	2016 IEEE Intelligent Vehicles Symposium (IV) Gothenburg, Sweden, June 19-22, 2016 Parts Selective DPM for detection of pedestrians possessing an umbrella Yuto Shimbo1 , Yasutomo Kawanishi1 , Daisuke Deguchi2 , Ichiro Id Add to Reading List Source URL: www.murase.m.is.nagoya-u.ac.jp Language: English - Date: 2016-07-12 02:05:40 Surveillance Pedestrian detection Image segmentation Face detection Object detection DPM Outline of object recognition
252	CURLER: Finding and Visualizing Nonlinear Correlation Clusters ∗ Anthony K. H. Tung Xin Xu Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2005-04-04 23:10:57 Cluster analysis Data mining Geostatistics K-means clustering Clustering high-dimensional data K-medoids Fuzzy clustering OPTICS algorithm Image segmentation DBSCAN Hierarchical clustering Determining the number of clusters in a data set
253	Learning Parts-Based Representations of Data by David A. Ross Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2004-10-15 10:45:48 Machine learning Image segmentation Supervised learning 3D modeling K-means clustering Graphics Deep learning Feature learning
254	ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Peer Reviewed Open Access International Journal Add to Reading List Source URL: www.ijmetmr.com Language: English - Date: 2014-12-10 07:04:07 Computer vision Image processing Image segmentation Feature detection Background subtraction Thresholding Color histogram Connected-component labeling Image histogram Pedestrian detection Outline of object recognition Histogram equalization
255	Microsoft Word - IJIMA03-03.docx Add to Reading List Source URL: www.foibg.com Language: English - Date: 2015-02-02 08:39:31 Image processing Digital television Noise Shot transition detection Video processing Image segmentation Peak signal-to-noise ratio Threshold Structural similarity RANSAC
256	REAL-TIME CORPUS-BASED CONCATENATIVE SYNTHESIS FOR SYMBOLIC NOTATION Daniele Ghisi STMS Lab (IRCAM, CNRS, UPMC) Add to Reading List Source URL: tenor2016.tenor-conference.org Language: English - Date: 2016-05-17 08:15:07 Metallurgy Affine geometry Centroid Means Crystallite Image segmentation Concatenative synthesis Carat
257	doi:j.patrec Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2016-06-12 17:36:44 Image segmentation Feature detection Computer vision Content-based image retrieval Region growing Speeded up robust features Color histogram Thresholding Outline of object recognition Watershed
258	Unsupervised Metric Learning by Self-Smoothing Operator Jiayan Jiang UCLA Bo Wang University of Toronto Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2011-09-30 15:26:15 Multivariate statistics Geostatistics Dimension reduction Machine learning Dimension Nonlinear dimensionality reduction Diffusion Similarity measure Image segmentation Dimensionality reduction Kernel method K-means clustering
259	Learning Conditional Random Fields for Stereo Daniel Scharstein Middlebury College Middlebury, VT, USA Chris Pal Add to Reading List Source URL: www.cs.middlebury.edu Language: English - Date: 2007-06-15 21:08:12 Machine learning Graphical models Conditional random field Stereoscopy Vision Image segmentation Markov random field Mixture model Supervised learning Stereopsis Regression analysis
260	WORKING PAPER N° Hedonic model of segmentation with horizontal differentiated housing MASHA MASLIANSKAIA-PAUTREL Add to Reading List Source URL: www.tepp.eu Language: English - Date: 2015-07-01 09:45:03 Real estate Urban economics Econometrics Economic data Hedonic regression Real estate economics Economic surplus Market Demand Image segmentation Utility

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