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DAC
1999
ACM
15 years 7 months ago
Circuit Complexity Reduction for Symbolic Analysis of Analog Integrated Circuits
This paper presents a method to reduce the complexity of a linear or linearized (small-signal) analog circuit. The reduction technique, based on quality-error ranking, can be used...
Walter Daems, Georges G. E. Gielen, Willy M. C. Sa...
CVPR
2010
IEEE
15 years 11 months ago
Sufficient Dimensionality Reduction for Visual Sequence Classification
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Alex Shyr, Raquel Urtasun, Michael Jordan
IJON
2010
152views more  IJON 2010»
15 years 1 months ago
Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data
Due to the tremendous increase of electronic information with respect to the size of data sets as well as their dimension, dimension reduction and visualization of high-dimensiona...
Kerstin Bunte, Barbara Hammer, Axel Wismüller...
HCI
2009
15 years 1 months ago
A Comparison of Artifact Reduction Methods for Real-Time Analysis of fNIRS Data
Due to its convenient, low physical restraint, and electric noise tolerant features, functional near-infrared spectroscopy (fNIRS) is expected to be a useful tool in monitoring use...
Takayuki Nozawa, Toshiyuki Kondo
ICML
2007
IEEE
16 years 4 months ago
Regression on manifolds using kernel dimension reduction
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
Jens Nilsson, Fei Sha, Michael I. Jordan