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» On the convergence of the power series algorithm
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ICMCS
2000
IEEE
138views Multimedia» more  ICMCS 2000»
15 years 4 months ago
Event-Coupled Hidden Markov Models
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...
Trausti T. Kristjansson, Brendan J. Frey, Thomas S...
107
Voted
AAAI
2007
15 years 2 months ago
Conservative Dual Consistency
Consistencies are properties of Constraint Networks (CNs) that can be exploited in order to make inferences. When a significant amount of such inferences can be performed, CNs ar...
Christophe Lecoutre, Stéphane Cardon, Julie...
78
Voted
ASPDAC
2005
ACM
96views Hardware» more  ASPDAC 2005»
15 years 2 months ago
Comprehensive frequency dependent interconnect extraction and evaluation methodology
Abstract— Frequency dependent interconnect analysis is challenging since lumped equivalent circuit models extracted at different frequencies exhibit distinct time and frequency d...
Rong Jiang, Charlie Chung-Ping Chen
109
Voted
TASLP
2008
100views more  TASLP 2008»
14 years 12 months ago
Noise Tracking Using DFT Domain Subspace Decompositions
All discrete Fourier transform (DFT) domain-based speech enhancement gain functions rely on knowledge of the noise power spectral density (PSD). Since the noise PSD is unknown in a...
Richard C. Hendriks, Jesper Jensen, Richard Heusde...
CORR
2006
Springer
99views Education» more  CORR 2006»
15 years 15 days ago
Rational stochastic languages
In probabilistic grammatical inference, a usual goal is to infer a good approximation of an unknown distribution P called a stochastic language. The estimate of P stands in some cl...
François Denis, Yann Esposito