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ICASSP
2010
IEEE
14 years 9 months ago
Robust spectro-temporal features based on autoregressive models of Hilbert envelopes
In this paper, we present a robust spectro-temporal feature extraction technique using autoregressive models (AR) of sub-band Hilbert envelopes. AR models of Hilbert envelopes are...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
TCAD
2010
88views more  TCAD 2010»
14 years 4 months ago
Stress Aware Layout Optimization Leveraging Active Area Dependent Mobility Enhancement
Starting from the 90nm technology node, process induced stress has played a key role in the design of highperformance devices. The emergence of source/drain silicon germanium (S/D ...
Ashutosh Chakraborty, Sean X. Shi, David Z. Pan
TSP
2008
151views more  TSP 2008»
14 years 9 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar
ECAI
2006
Springer
15 years 1 months ago
A Learning Classifier Approach to Tomography
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
Kees Joost Batenburg
IS
2007
14 years 9 months ago
Discovering frequent geometric subgraphs
As data mining techniques are being increasingly applied to non-traditional domains, existing approaches for finding frequent itemsets cannot be used as they cannot model the req...
Michihiro Kuramochi, George Karypis