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Network segmentation
Results: 182

#	Item
121	Semi-Supervised Classification of Network Data Using Very Few Labels Frank Lin William W. Cohen Carnegie Mellon University, Pittsburgh, Pennsylvania Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-05-21 12:53:37 Semi-supervised learning Supervised learning Random walker algorithm PageRank Segmentation Active learning Machine learning Artificial intelligence Learning
122	International Scholarly Research Network ISRN Computer Graphics Volume 2012, Article ID[removed], 11 pages doi:[removed][removed]Research Article Add to Reading List Source URL: downloads.hindawi.com Language: English - Date: 2014-05-08 08:07:20 Imaging Computer vision Image search Artificial intelligence applications Content-based image retrieval Data mining Image retrieval Color histogram Segmentation Image processing Artificial intelligence Vision
123	Information Systems Research Vol. 24, No. 1, March 2013, pp. 164–185 ISSN[removed]print) ISSN[removed]online) http://dx.doi.org[removed]isre[removed] © 2013 INFORMS Add to Reading List Source URL: scheller.gatech.edu Language: English - Date: 2014-03-18 21:45:12 Monopoly Pricing Economics Network effect Price discrimination Subscription business model Loyalty business model Market segmentation Pricing strategies Business Business models Marketing
124	Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework Omer Rotem The Engineering Faculty Tel-Aviv University, Israel Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2008-01-08 07:07:47 Signal processing Artificial intelligence Segmentation Canny edge detector Edge detection Thresholding Region growing Expectation–maximization algorithm Scale-invariant feature transform Image processing Computer vision Statistics
125	Off-line Handwriting Recognition by Recurrent Error Propagation Networks A.W.Senior* F.Fallside Add to Reading List Source URL: www.bmva.org Language: English - Date: 2013-02-28 11:53:36 Statistics Computational neuroscience Artificial intelligence applications Automatic identification and data capture Computational linguistics Handwriting recognition Segmentation Speech recognition Recurrent neural network Neural networks Science Artificial intelligence
126	2D Human Pose Estimation in TV Shows Vittorio Ferrari1 , Manuel Mar´ın-Jim´enez2, and Andrew Zisserman3 1 ETH Zurich [removed] 2 Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2009-08-24 11:41:20 Optics Robot control Pose Pedestrian detection Segmentation Anatomical terms of location Computer vision Vision Imaging
127	Social Networking Segmentation: Celebrating Community Diversity in a Framework A W3C Workshop on the Future of Social Networking Position Paper Christine Perey, Consultant and Industry Analyst PEREY Research & Consulting Add to Reading List Source URL: www.w3.org Language: English - Date: 2008-11-24 03:21:49 Mobile social network Mobile phone Mobile Web Social networking service Mobile operating system Mobile game Location-based service T-Mobile Online community Technology Community websites Mobile technology
128	. INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE From images to shape models for object detection Vittorio Ferrari — Frederic Jurie — Cordelia Schmid Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2009-03-16 09:40:05 Artificial intelligence Shape context Object recognition Segmentation Active shape model Shape Geometric hashing Object detection Deformation Computer vision Vision Imaging
129	Large-scale Video Classification with Convolutional Neural Networks Andrej Karpathy1,2 George Toderici1 [removed] Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2014-04-21 18:14:28 Information Internet Communications protocol Segmentation Boltzmann machine Recurrent neural network University of Central Florida Cellular neural network Neural networks Cybernetics Science
130	Incorporating Context and User Feedback in Pen-Based Interfaces Martin Szummer and Philip J. Cowans Microsoft Research Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2004-11-05 05:01:58 Science Pattern recognition Conditional random field Labeling theory Segmentation Learning Bayesian network User interface Machine learning Graphical models Statistics

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