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GLVLSI
2009
IEEE
186views VLSI» more  GLVLSI 2009»
14 years 2 months ago
Bitmask-based control word compression for NISC architectures
Implementing a custom hardware is not always feasible due to cost and time considerations. No instruction set computer (NISC) architecture is one of the promising direction to des...
Chetan Murthy, Prabhat Mishra
CASES
2006
ACM
14 years 1 months ago
Adaptive object code compression
Previous object code compression schemes have employed static and semiadaptive compression algorithms to reduce the size of instruction memory in embedded systems. The suggestion ...
John Gilbert, David M. Abrahamson
CVPR
2012
IEEE
11 years 9 months ago
Bilevel sparse coding for coupled feature spaces
In this paper, we propose a bilevel sparse coding model for coupled feature spaces, where we aim to learn dictionaries for sparse modeling in both spaces while enforcing some desi...
Jianchao Yang, Zhaowen Wang, Zhe Lin, Xianbiao Shu...
CORR
2010
Springer
225views Education» more  CORR 2010»
13 years 7 months ago
Sensing Matrix Optimization for Block-Sparse Decoding
Recent work has demonstrated that using a carefully designed sensing matrix rather than a random one, can improve the performance of compressed sensing. In particular, a welldesign...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...
CASES
2005
ACM
13 years 9 months ago
A post-compilation register reassignment technique for improving hamming distance code compression
Code compression is a field where compression ratios between compiler-generated code and subsequent compressed code are highly dependent on decisions made at compile time. Most op...
Montserrat Ros, Peter Sutton