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STOC
2000
ACM
174views Algorithms» more  STOC 2000»
14 years 2 days ago
Noise-tolerant learning, the parity problem, and the statistical query model
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
Avrim Blum, Adam Kalai, Hal Wasserman
ICCAD
1999
IEEE
181views Hardware» more  ICCAD 1999»
14 years 23 hour ago
A new heuristic for rectilinear Steiner trees
The minimum rectilinear Steiner tree (RST) problem is one of the fundamental problems in the field of electronic design automation. The problem is NP-hard, and much work has been ...
Ion I. Mandoiu, Vijay V. Vazirani, Joseph L. Ganle...
ACCV
2006
Springer
13 years 9 months ago
Learning Multi-category Classification in Bayesian Framework
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Atul Kanaujia, Dimitris N. Metaxas
CORR
2006
Springer
152views Education» more  CORR 2006»
13 years 7 months ago
On Reduced Complexity Soft-Output MIMO ML detection
In multiple-input multiple-output (MIMO) fading channels maximum likelihood (ML) detection is desirable to achieve high performance, but its complexity grows exponentially with th...
Massimiliano Siti, Michael P. Fitz
IEICET
2007
83views more  IEICET 2007»
13 years 7 months ago
A MFCC-Based CELP Speech Coder for Server-Based Speech Recognition in Network Environments
Existing standard speech coders can provide speech communication of high quality while they degrade the performance of speech recognition systems that use the reconstructed speech...
Jae Sam Yoon, Gil Ho Lee, Hong Kook Kim