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CLASSIFICATION
2007
105views more  CLASSIFICATION 2007»
15 years 6 months ago
Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
Chris Fraley, Adrian E. Raftery
IPM
2006
111views more  IPM 2006»
15 years 6 months ago
Combining preference- and content-based approaches for improving document clustering effectiveness
E-commerce and knowledge management applications generate and consume tremendous amounts of online information that is typically available as textual documents. To facilitate subs...
Chih-Ping Wei, Chin-Sheng Yang, Han-Wei Hsiao, Tsa...
PAMI
2008
270views more  PAMI 2008»
15 years 6 months ago
Randomized Clustering Forests for Image Classification
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
Frank Moosmann, Eric Nowak, Frédéric...
PERVASIVE
2006
Springer
15 years 6 months ago
Collaborative Localization: Enhancing WiFi-Based Position Estimation with Neighborhood Links in Clusters
Abstract. Location-aware services can benefit from accurate and reliable indoor location tracking. The widespread adoption of 802.11x wireless LAN as the network infrastructure cre...
Li-Wei Chan, Ji-Rung Chiang, Yi-Chao Chen, Chia-na...
SIGCSE
2008
ACM
211views Education» more  SIGCSE 2008»
15 years 6 months ago
Cluster computing for web-scale data processing
In this paper we present the design of a modern course in cluster computing and large-scale data processing. The defining differences between this and previously published designs...
Aaron Kimball, Sierra Michels-Slettvet, Christophe...