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ETS
2006
IEEE
119views Hardware» more  ETS 2006»
15 years 3 months ago
On-Chip Test Generation Using Linear Subspaces
A central problem in built-in self test (BIST) is how to efficiently generate a small set of test vectors that detect all targeted faults. We propose a novel solution that uses l...
Ramashis Das, Igor L. Markov, John P. Hayes
56
Voted
MTA
2006
102views more  MTA 2006»
14 years 9 months ago
Generic forward error correction of short frames for IP streaming applications
If the frame size of a multimedia encoder is small, Internet Protocol (IP) streaming applications need to pack many encoded media frames in each Real-time Transport Protocol (RTP)...
Jari Korhonen, Yicheng Huang, Ye Wang
CISS
2008
IEEE
15 years 4 months ago
Fusion frames and robust dimension reduction
Abstract— We consider the linear minimum meansquared error (LMMSE) estimation of a random vector of interest from its fusion frame measurements in presence noise and subspace era...
Ali Pezeshki, Gitta Kutyniok, A. Robert Calderbank
NECO
1998
83views more  NECO 1998»
14 years 9 months ago
Properties of Support Vector Machines
Support Vector Machines (SVMs) perform pattern recognition between two point classes by nding a decision surface determined by certain points of the training set, termed Support V...
Massimiliano Pontil, Alessandro Verri
ICDM
2007
IEEE
137views Data Mining» more  ICDM 2007»
15 years 4 months ago
Locally Constrained Support Vector Clustering
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan