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Clustering
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#	Item
251	CLUSTERING BEHAVIORS OF SPOKEN DIALOGUE SYSTEMS USERS Senthilkumar Chandramohan 1,3 , Matthieu Geist 1 , Fabrice Lef`evre 3 , Olivier Pietquin 1,2 1 SUPELEC Metz Campus, IMS Research Group (France) 2 Add to Reading List Source URL: www.ilhaire.eu Language: English - Date: 2012-09-06 04:31:50 Computing Statistics Machine learning Cluster analysis Data mining Geostatistics K-means clustering Vector quantization Computer cluster Reinforcement learning Consensus clustering
252	Genome Informatics 11: 151–Clustering and Averaging of Images in Single-Particle Analysis Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2001-02-21 03:45:32 Cluster analysis Statistics Image processing Microscopes Protein structure Single particle analysis Data analysis Hierarchical clustering Determining the number of clusters in a data set Computational statistics K-means clustering Transmission electron microscopy
253	Making Clustering Work with SecureTransport A Technical Overview of High-Availability, High-Capacity and Geographically Distributed Clustering Models from Tumbleweed Communications Corp. Making Clustering Work with Sec Add to Reading List Source URL: www.ventajamarketing.com Language: English - Date: 2009-11-19 00:27:56 Computing Computer architecture Fault-tolerant computer systems Network management Cluster computing Load balancing Routing High-availability cluster Computer cluster Session Server Replication
254	I present a new similarity score, based on a statistical model, that is useful for clustering problems with high missing data rates and discrete data values. In settings that range from genomics to recommender systems, I Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Information science Recommender systems Information retrieval Information Data mining Collaborative filtering Collaborative software Collective intelligence Social information processing Cluster analysis SimRank Robust collaborative filtering
255	Multiclass Multimodal Detection and Tracking in Urban Environments Luciano Spinello†, § † Social Rudolph Triebel§ Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2010-08-06 03:43:10 Feature detection Artificial intelligence Vision Cluster analysis Histogram of oriented gradients K-means clustering Statistics Image segmentation Feature Edge detection Visual descriptor KadirBrady saliency detector
256	¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool Add to Reading List Source URL: cvg.ethz.ch Language: English - Date: 2015-12-15 08:50:27 Artificial intelligence Statistics Machine learning Nonparametric statistics Statistical classification Feature detection Learning Histogram Naive Bayes classifier Outline of object recognition K-means clustering Bag-of-words model
257	Profiling Tor Users with Unsupervised Learning Techniques Rafael G´ alvez, Marc Juarez, and Claudia Diaz KU Leuven, ESAT/COSIC and iMinds, Leuven, Belgium {name.surname}@esat.kuleuven.be Add to Reading List Source URL: securehomes.esat.kuleuven.be Language: English - Date: 2016-07-19 06:23:33 Machine learning Computing Statistics Internet Cluster analysis Data mining Geostatistics K-means clustering Statistical classification Recommender system Unsupervised learning Tor
258	The Complexity of the k-means Method∗ Tim Roughgarden1 and Joshua R. Wang2 1 Department of Computer Science, Stanford Univeresity, 474 Gates Building, 353 Serra Mall, Stanford, CA 94305, USA Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2016-08-08 16:24:20 Statistics NAND gate FO Mathematics K-means clustering K-means++ Gadget Cluster analysis Applied mathematics
259	Max-Margin Multiple-Instance Dictionary Learning Xinggang Wang† Baoyuan Wang‡ Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2013-06-24 00:00:30 Machine learning Artificial intelligence Learning Multiple instance learning Support vector machine Multiple-instance learning Conference on Computer Vision and Pattern Recognition Pattern recognition K-means clustering Multi-label classification Statistical classification Supervised learning
260	4400 University Drive MS#4A5 Fairfax, VAUSA http://cs.gmu.eduDepartment of Computer Science Add to Reading List Source URL: cs.gmu.edu Language: English - Date: 2005-02-21 13:23:30 Data mining Statistics Computational statistics Cluster analysis Geostatistics K-means clustering Robotics NP Algorithm Applied mathematics

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