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ICML
2004
IEEE
14 years 2 months 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
BIBE
2006
IEEE
119views Bioinformatics» more  BIBE 2006»
14 years 3 months ago
Large Grain Size Stochastic Optimization Alignment
DNA sequence alignment is a critical step in identifying homology between organisms. The most widely used alignment program, ClustalW, is known to suffer from the local minima pro...
Perry Ridge, Hyrum Carroll, Dan Sneddon, Mark J. C...
ISLPED
2005
ACM
86views Hardware» more  ISLPED 2005»
14 years 2 months ago
An evaluation of code and data optimizations in the context of disk power reduction
Disk power management is becoming increasingly important in high-end server and cluster type of environments that execute dataintensive applications. While hardware-only approache...
Mahmut T. Kandemir, Seung Woo Son, Guangyu Chen
CONSTRAINTS
2006
115views more  CONSTRAINTS 2006»
13 years 9 months ago
A Cost-Regular Based Hybrid Column Generation Approach
Abstract. Constraint Programming (CP) offers a rich modeling language of constraints embedding efficient algorithms to handle complex and heterogeneous combinatorial problems. To s...
Sophie Demassey, Gilles Pesant, Louis-Martin Rouss...
PLDI
1996
ACM
14 years 1 months ago
Realistic Compilation by Partial Evaluation
Two key steps in the compilation of strict functional languages are the conversion of higher-order functions to data structures (closures) and the transformation to tail-recursive...
Michael Sperber, Peter Thiemann