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» Bayesian Feedback in Data Clustering
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IPMI
2009
Springer
14 years 8 months ago
Tractography Segmentation Using a Hierarchical Dirichlet Processes Mixture Model
In this paper, we propose a new nonparametric Bayesian framework to cluster white matter fiber tracts into bundles using a hierarchical Dirichlet processes mixture (HDPM) model. Th...
Carl-Fredrik Westin, W. Eric L. Grimson, Xiaogang ...
PRL
2008
143views more  PRL 2008»
13 years 6 months ago
An active feedback framework for image retrieval
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). Since users are usually unwilling to prov...
Tao Qin, Xu-Dong Zhang, Tie-Yan Liu, De-Sheng Wang...
WWW
2008
ACM
14 years 8 months ago
Query-sets: using implicit feedback and query patterns to organize web documents
In this paper we present a new document representation model based on implicit user feedback obtained from search engine queries. The main objective of this model is to achieve be...
Barbara Poblete, Ricardo A. Baeza-Yates
HPCA
2008
IEEE
14 years 7 months ago
Cluster-level feedback power control for performance optimization
Power control is becoming a key challenge for effectively operating a modern data center. In addition to reducing operating costs, precisely controlling power consumption is an es...
Xiaorui Wang, Ming Chen
ML
2002
ACM
128views Machine Learning» more  ML 2002»
13 years 7 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee