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KDD
2010
ACM
272views Data Mining» more  KDD 2010»
13 years 7 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
CODES
2008
IEEE
14 years 3 months ago
Static analysis of processor stall cycle aggregation
Processor Idle Cycle Aggregation (PICA) is a promising approach for low power execution of processors, in which small memory stalls are aggregated to create a large one, and the p...
Jongeun Lee, Aviral Shrivastava
AAAI
2006
13 years 10 months ago
Computing Slater Rankings Using Similarities among Candidates
Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One important voting rule is the Slater rule. It selects a ranking of the alte...
Vincent Conitzer
SC
2004
ACM
14 years 2 months ago
Improving Throughput for Grid Applications with Network Logistics
This work describes a technique for improving network performance in Grid environments that we refer to as “logistics.” We demonstrate that by using storage and cooperative fo...
D. Martin Swany
IPPS
2009
IEEE
14 years 3 months ago
High-order stencil computations on multicore clusters
Stencil computation (SC) is of critical importance for broad scientific and engineering applications. However, it is a challenge to optimize complex, highorder SC on emerging clus...
Liu Peng, Richard Seymour, Ken-ichi Nomura, Rajiv ...