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» Computationally Efficient Transductive Machines
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ML
2008
ACM
222views Machine Learning» more  ML 2008»
13 years 9 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
FPGA
1997
ACM
132views FPGA» more  FPGA 1997»
14 years 1 months ago
Wormhole Run-Time Reconfiguration
Configurable Computing Machines (CCMs) are an emerging class of computing platform which provide the computational performance benefits of ASICs, yet retain the flexibility and ra...
Ray Bittner, Peter M. Athanas
IPPS
2010
IEEE
13 years 7 months ago
Decentralized resource management for multi-core desktop grids
The majority of CPUs now sold contain multiple computing cores. However, current desktop grid computing systems either ignore the multiplicity of cores, or treat them as distinct,...
Jaehwan Lee, Peter J. Keleher, Alan Sussman
CVPR
2007
IEEE
14 years 11 months ago
Image Classification with Segmentation Graph Kernels
We propose a family of kernels between images, defined as kernels between their respective segmentation graphs. The kernels are based on soft matching of subtree-patterns of the r...
Francis Bach, Zaïd Harchaoui
CVPR
2008
IEEE
14 years 11 months ago
Visual tracking with histograms and articulating blocks
We propose an algorithm for accurate tracking of (articulated) objects using online update of appearance and shape. The challenge here is to model foreground appearance with histo...
S. M. Nejhum Shahed, Jeffrey Ho, Ming-Hsuan Yang