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ICPR
2010
IEEE
14 years 7 days ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With
CVPR
2012
IEEE
12 years 7 days ago
Sum-product networks for modeling activities with stochastic structure
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
Mohamed R. Amer, Sinisa Todorovic
ISCA
2011
IEEE
238views Hardware» more  ISCA 2011»
13 years 1 months ago
Rebound: scalable checkpointing for coherent shared memory
As we move to large manycores, the hardware-based global checkpointing schemes that have been proposed for small shared-memory machines do not scale. Scalability barriers include ...
Rishi Agarwal, Pranav Garg, Josep Torrellas
HPCS
2005
IEEE
14 years 3 months ago
A Lightweight, Scalable Grid Computing Framework for Parallel Bioinformatics Applications
Abstract— In recent years our society has witnessed an unprecedented growth in computing power available to tackle important problems in science, engineering and medicine. For ex...
Hans De Sterck, Rob S. Markel, Rob Knight
MICRO
2006
IEEE
132views Hardware» more  MICRO 2006»
14 years 3 months ago
Scalable Cache Miss Handling for High Memory-Level Parallelism
Recently-proposed processor microarchitectures for high Memory Level Parallelism (MLP) promise substantial performance gains. Unfortunately, current cache hierarchies have Miss-Ha...
James Tuck, Luis Ceze, Josep Torrellas