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» Comparing distributions and shapes using the kernel distance
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IPPS
2007
IEEE
15 years 3 months ago
An Implementation of Page Allocation Shaping for Energy Efficiency
Main memory in many tera-scale systems requires tens of kilowatts of power. The resulting energy consumption increases system cost and the heat produced reduces reliability. Emerg...
Matthew E. Tolentino, Joseph Turner, Kirk W. Camer...
PAMI
2006
230views more  PAMI 2006»
14 years 9 months ago
Shape Registration in Implicit Spaces Using Information Theory and Free Form Deformations
We present a novel variational and statistical approach for shape registration. Shapes of interest are implicitly embedded in a higher dimensional space of distance transforms. In...
Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
ICIAP
1999
ACM
15 years 1 months ago
Bayesian Graph Edit Distance
ÐThis paper describes a novel framework for comparing and matching corrupted relational graphs. The paper develops the idea of edit-distance originally introduced for graph-matchi...
Richard Myers, Richard C. Wilson, Edwin R. Hancock
IPPS
2009
IEEE
15 years 4 months ago
Flexible pipelining design for recursive variable expansion
Many image and signal processing kernels can be optimized for performance consuming a reasonable area by doing loops parallelization with extensive use of pipelining. This paper p...
Zubair Nawaz, Thomas Marconi, Koen Bertels, Todor ...
BMCBI
2006
173views more  BMCBI 2006»
14 years 9 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen