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FSTTCS
2008
Springer
13 years 9 months ago
Dynamic matrix rank with partial lookahead
We consider the problem of maintaining information about the rank of a matrix M under changes to its entries. For an n × n matrix M, we show an amortized upper bound of O(nω−1)...
Telikepalli Kavitha
MMSP
2008
IEEE
141views Multimedia» more  MMSP 2008»
14 years 3 months ago
Dynamic chroma feature vectors with applications to cover song identification
A new chroma-based dynamic feature vector is proposed inspired by psychophysical observations that the human auditory system detects relative pitch changes rather than absolute pi...
Samuel Kim, Shrikanth Narayanan
CSL
2007
Springer
13 years 8 months ago
Articulatory feature recognition using dynamic Bayesian networks
This paper describes the use of dynamic Bayesian networks for the task of articulatory feature recognition. We show that by modeling the dependencies between a set of 6 multi-leve...
Joe Frankel, Mirjam Wester, Simon King
EACL
2009
ACL Anthology
14 years 9 months ago
Cube Summing, Approximate Inference with Non-Local Features, and Dynamic Programming without Semirings
We introduce cube summing, a technique that permits dynamic programming algorithms for summing over structures (like the forward and inside algorithms) to be extended with non-loc...
Kevin Gimpel, Noah A. Smith
JSA
2006
97views more  JSA 2006»
13 years 8 months ago
Dynamic feature selection for hardware prediction
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
Alan Fern, Robert Givan, Babak Falsafi, T. N. Vija...