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ICML
2004
IEEE
14 years 25 days ago
Learning a kernel matrix for nonlinear dimensionality reduction
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul
IPSN
2004
Springer
14 years 23 days ago
Sensing uncertainty reduction using low complexity actuation
The performance of a sensor network may be best judged by the quality of application specific information return. The actual sensing performance of a deployed sensor network depe...
Aman Kansal, Eric Yuen, William J. Kaiser, Gregory...
EUROPAR
2001
Springer
13 years 12 months ago
Execution Latency Reduction via Variable Latency Pipeline and Instruction Reuse
Operand bypass logic might be one of the critical structures for future microprocessors to achieve high clock speed. The delay of the logic imposes the execution time budget to be ...
Toshinori Sato, Itsujiro Arita
AAAI
2007
13 years 9 months ago
Search Space Reduction and Russian Doll Search
In a constraint optimization problem (COP), many feasible valuations lead to the same objective value. This often means a huge search space and poor performance in the propagation...
Kenil C. K. Cheng, Roland H. C. Yap
SIMPRA
1998
99views more  SIMPRA 1998»
13 years 7 months ago
Rollback overhead reduction methods for time warp distributed simulation
Parallel discrete event simulation is a useful technique to improve performance of sequential discrete event simulation. We consider the Time Warp algorithm for asynchronous distr...
Simonetta Balsamo, C. Manconi