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TKDE
2008
121views more  TKDE 2008»
14 years 9 months ago
Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study
Linear and kernel discriminant analyses are popular approaches for supervised dimensionality reduction. Uncorrelated and regularized discriminant analyses have been proposed to ove...
Shuiwang Ji, Jieping Ye
CASES
2005
ACM
14 years 11 months ago
Optimizing stream programs using linear state space analysis
Digital Signal Processing (DSP) is becoming increasingly widespread in portable devices. Due to harsh constraints on power, latency, and throughput in embedded environments, devel...
Sitij Agrawal, William Thies, Saman P. Amarasinghe
ICPP
2000
IEEE
15 years 2 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
CVPR
2007
IEEE
15 years 11 months ago
Stereo Matching via Disparity Estimation and Surface Modeling
Two new techniques are proposed to improve stereo matching performance in this work. First, to address the disparity discontinuity problem in occluded regions, we present a dispar...
Jong Dae Oh, Siwei Ma, C. C. Jay Kuo
ESANN
2007
14 years 11 months ago
An overview of reservoir computing: theory, applications and implementations
Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
Benjamin Schrauwen, David Verstraeten, Jan M. Van ...