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CACM
2011
120views more  CACM 2011»
15 years 1 months ago
The sequence memoizer
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Jan Gasthaus, Cédric Archambeau...
PR
2011
15 years 1 months ago
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
Sotirios Chatzis, Dimitrios I. Kosmopoulos
ICASSP
2011
IEEE
14 years 10 months ago
Itakura-Saito nonnegative matrix factorization with group sparsity
We propose an unsupervised inference procedure for audio source separation. Components in nonnegative matrix factorization (NMF) are grouped automatically in audio sources via a p...
Augustin Lefevre, Francis Bach, Cédric F&ea...
ICDE
2008
IEEE
155views Database» more  ICDE 2008»
16 years 8 months ago
Lattice Histograms: a Resilient Synopsis Structure
Despite the surge of interest in data reduction techniques over the past years, no method has been proposed to date that can always achieve approximation quality preferable to that...
Panagiotis Karras, Nikos Mamoulis
ICSE
2005
IEEE-ACM
16 years 6 months ago
Check 'n' crash: combining static checking and testing
We present an automatic error-detection approach that combines static checking and concrete test-case generation. Our approach consists of taking the abstract error conditions inf...
Christoph Csallner, Yannis Smaragdakis