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» Computing Minimal Diagnoses with Critical Set Algorithms
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WAIM
2009
Springer
15 years 2 months ago
Kernel-Based Transductive Learning with Nearest Neighbors
In the k-nearest neighbor (KNN) classifier, nearest neighbors involve only labeled data. That makes it inappropriate for the data set that includes very few labeled data. In this ...
Liangcai Shu, Jinhui Wu, Lei Yu, Weiyi Meng
PR
2006
108views more  PR 2006»
14 years 9 months ago
Boosted discriminant projections for nearest neighbor classification
In this paper we introduce a new embedding technique to find the linear projection that best projects labeled data samples into a new space where the performance of a Nearest Neig...
David Masip, Jordi Vitrià
FCCM
1999
IEEE
134views VLSI» more  FCCM 1999»
15 years 2 months ago
Runlength Compression Techniques for FPGA Configurations
The time it takes to reconfigure FPGAs can be a significant overhead for reconfigurable computing. In this paper we develop new compression algorithms for FPGA configurations that...
Scott Hauck, William D. Wilson
COMPGEOM
2011
ACM
14 years 1 months ago
Comparing distributions and shapes using the kernel distance
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phil...
IPPS
2000
IEEE
15 years 2 months ago
Augmenting Modern Superscalar Architectures with Configurable Extended Instructions
The instruction sets of general-purpose microprocessors are designed to offer good performance across a wide range of programs. The size and complexity of the instruction sets, how...
Xianfeng Zhou, Margaret Martonosi