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IJHPCA
2008
104views more  IJHPCA 2008»
15 years 6 months ago
Low-Complexity Principal Component Analysis for Hyperspectral Image Compression
Principal component analysis (PCA) is an effective tool for spectral decorrelation of hyperspectral imagery, and PCA-based spectral transforms have been employed successfully in co...
Qian Du, James E. Fowler
CAL
2007
15 years 6 months ago
Microarchitectures for Managing Chip Revenues under Process Variations
—As transistor feature sizes continue to shrink into the sub-90nm range and beyond, the effects of process variations on critical path delay and chip yields have amplified. A com...
Abhishek Das, Serkan Ozdemir, Gokhan Memik, Joseph...
ISI
2006
Springer
15 years 6 months ago
Inferring Privacy Information from Social Networks
Since privacy information can be inferred via social relations, the privacy confidentiality problem becomes increasingly challenging as online social network services are more popu...
Jianming He, Wesley W. Chu, Zhenyu Liu
JSW
2008
131views more  JSW 2008»
15 years 6 months ago
An Application Directed Adaptive Framework for Autonomic Software
Autonomic computing is gradually becoming accepted as a viable approach to achieving self-management in systems and networks, with the goal of lessening the impact of the complexit...
Bridget Meehan, Girijesh Prasad, T. Martin McGinni...
JEC
2006
107views more  JEC 2006»
15 years 6 months ago
A dynamically reconfigurable cache for multithreaded processors
Chip multi-processors (CMP) are rapidly emerging as an important design paradigm for both high performance and embedded processors. These machines provide an important performance...
Alex Settle, Dan Connors, Enric Gibert, Antonio Go...