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WEA
2010
Springer
545views Algorithms» more  WEA 2010»
14 years 3 months ago
Experiments on Union-Find Algorithms for the Disjoint-Set Data Structure
Abstract. The disjoint-set data structure is used to maintain a collection of non-overlapping sets of elements from a finite universe. Algorithms that operate on this data structu...
Md. Mostofa Ali Patwary, Jean R. S. Blair, Fredrik...
BIBE
2008
IEEE
111views Bioinformatics» more  BIBE 2008»
13 years 10 months ago
Structure learning for biomolecular pathways containing cycles
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
S. Itani, Karen Sachs, Garry P. Nolan, M. A. Dahle...
KAIS
2006
95views more  KAIS 2006»
13 years 8 months ago
Discovering mappings in hierarchical data from multiple sources using the inherent structure
Unprecedented amounts of media data are publicly accessible. However, it is increasingly difficult to integrate relevant media from multiple and diverse sources for effective appli...
K. Selçuk Candan, Jong Wook Kim, Huan Liu, ...
ISCA
1993
IEEE
137views Hardware» more  ISCA 1993»
14 years 19 days ago
Transactional Memory: Architectural Support for Lock-Free Data Structures
A shared data structure is lock-free if its operations do not require mutual exclusion. If one process is interrupted in the middle of an operation, other processes will not be pr...
Maurice Herlihy, J. Eliot B. Moss
ISCAS
2008
IEEE
145views Hardware» more  ISCAS 2008»
14 years 2 months ago
Group learning using contrast NMF : Application to functional and structural MRI of schizophrenia
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
Vamsi K. Potluru, Vince D. Calhoun