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» Computing spectral sequences
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134
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IPPS
2010
IEEE
15 years 1 months ago
pFANGS: Parallel high speed sequence mapping for Next Generation 454-roche Sequencing reads
Millions of DNA sequences (reads) are generated by Next Generation Sequencing machines everyday. There is a need for high performance algorithms to map these sequences to the refer...
Sanchit Misra, Ramanathan Narayanan, Wei-keng Liao...
146
Voted
ISVC
2010
Springer
15 years 2 months ago
Reconstruction of Spectra Using Empirical Basis Functions
Physically-based image synthesis requires measured spectral quantities for illuminants and reflectances as part of the virtual scene description to compute trustworthy lighting si...
Jakob Bärz, Tina Hansen, Stefan Müller
145
Voted
STOC
2001
ACM
138views Algorithms» more  STOC 2001»
16 years 4 months ago
Fast computation of low rank matrix
Given a matrix A, it is often desirable to find a good approximation to A that has low rank. We introduce a simple technique for accelerating the computation of such approximation...
Dimitris Achlioptas, Frank McSherry
ICASSP
2009
IEEE
15 years 10 months ago
On the phonetic information in ultrasonic microphone signals
We study the phonetic information in the signal from an ultrasonic “microphone”, a device that emits an ultrasonic wave toward a speaker and receives the reflected, Doppler-s...
Karen Livescu, Bo Zhu, James R. Glass
118
Voted
FTSIG
2007
136views more  FTSIG 2007»
15 years 3 months ago
The Application of Hidden Markov Models in Speech Recognition
Hidden Markov Models (HMMs) provide a simple and effective framework for modelling time-varying spectral vector sequences. As a consequence, almost all present day large vocabula...
Mark J. F. Gales, Steve Young