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» Scalable learning for object detection with GPU hardware
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Publication
266views
14 years 5 months ago
NeuFlow: A Runtime Reconfigurable Dataflow Processor for Vision
In this paper we present a scalable dataflow hard- ware architecture optimized for the computation of general- purpose vision algorithms—neuFlow—and a dataflow compiler—luaFl...
C. Farabet, B. Martini, B. Corda, P. Akselrod, E. ...
92
Voted
CVPR
1998
IEEE
16 years 1 months ago
Background Modeling for Segmentation of Video-Rate Stereo Sequences
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...
91
Voted
ICCAD
2003
IEEE
170views Hardware» more  ICCAD 2003»
15 years 8 months ago
Evaluation of Placement Techniques for DNA Probe Array Layout
DNA probe arrays have emerged as a core genomic technology that enables cost-effective gene expression monitoring, mutation detection, single nucleotide polymorphism analysis and ...
Andrew B. Kahng, Ion I. Mandoiu, Sherief Reda, Xu ...
DSN
2011
IEEE
13 years 11 months ago
Transparent dynamic binding with fault-tolerant cache coherence protocol for chip multiprocessors
—Aggressive technology scaling causes chip multiprocessors increasingly error-prone. Core-level faulttolerant approaches bind two cores to implement redundant execution and error...
Shuchang Shan, Yu Hu, Xiaowei Li