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» An Architecture for Compressive Imaging
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ICMLA
2009
15 years 4 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...
MM
2005
ACM
215views Multimedia» more  MM 2005»
16 years 1 days ago
OpenVIDIA: parallel GPU computer vision
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). I...
James Fung, Steve Mann
ICPR
2004
IEEE
16 years 7 months ago
Using Multiple Graphics Cards as a General Purpose Parallel Computer : Applications to Computer Vision
Pattern recognition and computer vision tasks are computationally intensive, repetitive, and often exceed the capabilities of the CPU, leaving little time for higher level tasks. ...
James Fung, Steve Mann
ISVLSI
2005
IEEE
169views VLSI» more  ISVLSI 2005»
16 years 2 days ago
High Performance Array Processor for Video Decoding
high NRE cost. Therefore, general purpose programmable processors using software to perform various functions become more attractive since programmability can simplify system devel...
J. Lee, Narayanan Vijaykrishnan, Mary Jane Irwin

Publication
194views
17 years 4 months ago
A Survey of Application Layer Techniques for Adaptive Streaming of Multimedia
The current Internet only supports best-effort traffic. New high-speed technologies such as ATM (asynchronous transfer mode), gigabit Ethernet, fast Ethernet, and frame relay, have...
Bobby Vandalore, Wu-chi Feng, Raj Jain, Sonia Fahm...