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ICML
2009
IEEE
14 years 8 months ago
Multi-assignment clustering for Boolean data
Conventional clustering methods typically assume that each data item belongs to a single cluster. This assumption does not hold in general. In order to overcome this limitation, w...
Andreas P. Streich, Mario Frank, David A. Basin, J...
ICML
2004
IEEE
14 years 8 months ago
Solving cluster ensemble problems by bipartite graph partitioning
A critical problem in cluster ensemble research is how to combine multiple clusterings to yield a final superior clustering result. Leveraging advanced graph partitioning techniqu...
Xiaoli Zhang Fern, Carla E. Brodley
CIKM
2009
Springer
13 years 11 months ago
Classification-based resource selection
In some retrieval situations, a system must search across multiple collections. This task, referred to as federated search, occurs for example when searching a distributed index o...
Jaime Arguello, Jamie Callan, Fernando Diaz
KDD
2008
ACM
104views Data Mining» more  KDD 2008»
14 years 7 months ago
Learning methods for lung tumor markerless gating in image-guided radiotherapy
In an idealized gated radiotherapy treatment, radiation is delivered only when the tumor is at the right position. For gated lung cancer radiotherapy, it is difficult to generate ...
Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian ...
ICDM
2010
IEEE
205views Data Mining» more  ICDM 2010»
13 years 5 months ago
Knowledge File System -- A Principled Approach to Personal Information Management
The Knowledge File System (KFS) is a smart virtual file system that sits between the operating system and the file system. Its primary functionality is to automatically organize fi...
Kuiyu Chang, I. Wayan Tresna Perdana, Bramandia Ra...