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ECML
2006
Springer
13 years 11 months ago
Deconvolutive Clustering of Markov States
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
Ata Kabán, Xin Wang
ICDE
2007
IEEE
129views Database» more  ICDE 2007»
14 years 1 months ago
Ontology-driven Rule Generalization and Categorization for Market Data
—Radio Frequency Identification (RFID) is an emerging technique that can significantly enhance supply chain processes and deliver customer service improvements. RFID provides use...
Dongwoo Won, Dennis McLeod
TVCG
2008
145views more  TVCG 2008»
13 years 7 months ago
Geometry-Based Edge Clustering for Graph Visualization
Graphs have been widely used to model relationships among data. For large graphs, excessive edge crossings make the display visually cluttered and thus difficult to explore. In thi...
Weiwei Cui, Hong Zhou, Huamin Qu, Pak Chung Wong, ...
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
13 years 11 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
EUROPAR
2008
Springer
13 years 9 months ago
MPC: A Unified Parallel Runtime for Clusters of NUMA Machines
Over the last decade, Message Passing Interface (MPI) has become a very successful parallel programming environment for distributed memory architectures such as clusters. However, ...
Marc Pérache, Hervé Jourdren, Raymon...