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ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
16 years 14 days ago
High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
Hassan H. Malik, John R. Kender
HIKM
2006
ACM
16 years 11 days ago
Epoch: an ontological framework to support clinical trials management
The increasing complexity of clinical trials has generated an enormous requirement for knowledge and information specification at all stages of the trials, including planning, doc...
Ravi D. Shankar, Susana B. Martins, Martin J. O'Co...
PLDI
2006
ACM
16 years 11 days ago
Automatic instruction scheduler retargeting by reverse-engineering
In order to generate high-quality code for modern processors, a compiler must aggressively schedule instructions, maximizing resource utilization for execution efficiency. For a ...
Matthew J. Bridges, Neil Vachharajani, Guilherme O...
CP
2005
Springer
15 years 12 months ago
Neighbourhood Clause Weight Redistribution in Local Search for SAT
Abstract. In recent years, dynamic local search (DLS) clause weighting algorithms have emerged as the local search state-of-the-art for solving propositional satisfiability proble...
Abdelraouf Ishtaiwi, John Thornton, Abdul Sattar, ...
PREMI
2005
Springer
15 years 12 months ago
Pattern Recognition in Video
Images constitute data that lives in a very high dimensional space, typically of the order of hundred thousand dimensions. Drawing inferences from data of such high dimensions soon...
Rama Chellappa, Ashok Veeraraghavan, Gaurav Aggarw...