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AAAI
2012
13 years 3 months ago
Supervised Probabilistic Robust Embedding with Sparse Noise
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...
Yu Zhang, Dit-Yan Yeung, Eric P. Xing
113
Voted
WCET
2010
14 years 10 months ago
METAMOC: Modular Execution Time Analysis using Model Checking
Safe and tight worst-case execution times (WCETs) are important when scheduling hard realtime systems. This paper presents METAMOC, a modular method, based on model checking and s...
Andreas E. Dalsgaard, Mads Chr. Olesen, Martin Tof...
86
Voted
JMLR
2010
191views more  JMLR 2010»
14 years 7 months ago
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
Michael Gutmann, Aapo Hyvärinen
107
Voted
TSP
2010
14 years 7 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
90
Voted
INTERSPEECH
2010
14 years 7 months ago
Audio-visual anticipatory coarticulation modeling by human and machine
The phenomenon of anticipatory coarticulation provides a basis for the observed asynchrony between the acoustic and visual onsets of phones in certain linguistic contexts. This ty...
Louis H. Terry, Karen Livescu, Janet B. Pierrehumb...