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» MARK: a boosting algorithm for heterogeneous kernel models
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EUROPAR
2009
Springer
15 years 4 months ago
Automatic Calibration of Performance Models on Heterogeneous Multicore Architectures
Multicore architectures featuring specialized accelerators are getting an increasing amount of attention, and this success will probably influence the design of future High Perfor...
Cédric Augonnet, Samuel Thibault, Raymond N...
131
Voted
SDM
2012
SIAM
294views Data Mining» more  SDM 2012»
13 years 2 months ago
Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
Tinghui Zhou, Hanhuai Shan, Arindam Banerjee, Guil...
119
Voted
CVPR
2006
IEEE
16 years 1 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
158
Voted
HPDC
2008
IEEE
15 years 6 months ago
Harmony: an execution model and runtime for heterogeneous many core systems
The emergence of heterogeneous many core architectures presents a unique opportunity for delivering order of magnitude performance increases to high performance applications by ma...
Gregory F. Diamos, Sudhakar Yalamanchili
ICCV
2005
IEEE
16 years 1 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah