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ICIAP
2005
ACM
16 years 7 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
ICCD
2004
IEEE
114views Hardware» more  ICCD 2004»
16 years 4 months ago
Low Energy, Highly-Associative Cache Design for Embedded Processors
Many embedded processors use highly associative data caches implemented using a CAM-based tag search. When high-associativity is desirable, CAM designs can offer performance advan...
Alexander V. Veidenbaum, Dan Nicolaescu
ICCAD
2005
IEEE
151views Hardware» more  ICCAD 2005»
16 years 4 months ago
Architecture and details of a high quality, large-scale analytical placer
Modern design requirements have brought additional complexities to netlists and layouts. Millions of components, whitespace resources, and fixed/movable blocks are just a few to ...
Andrew B. Kahng, Sherief Reda, Qinke Wang
SSDBM
2009
IEEE
192views Database» more  SSDBM 2009»
16 years 2 months ago
MLR-Index: An Index Structure for Fast and Scalable Similarity Search in High Dimensions
High-dimensional indexing has been very popularly used for performing similarity search over various data types such as multimedia (audio/image/video) databases, document collectio...
Rahul Malik, Sangkyum Kim, Xin Jin, Chandrasekar R...
IROS
2009
IEEE
173views Robotics» more  IROS 2009»
16 years 1 months ago
Biologically inspired compliant control of a monopod designed for highly dynamic applications
— In this paper the compliant low level control of a biologically inspired control architecture suited for bipedal dynamic walking robots is presented. It consists of elastic mec...
Sebastian Blank, Thomas Wahl, Tobias Luksch, Karst...