Sciweavers

ICASSP
2011
IEEE
12 years 8 months ago
Posterior features for template-based ASR
This paper investigates the use of phoneme class conditional probabilities as features (posterior features) for template-based ASR. Using 75 words and 600 words task-independent a...
Serena Soldo, Mathew Magimai-Doss, Joel Pinto, Her...
TIP
2010
141views more  TIP 2010»
12 years 11 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina
MT
2010
96views more  MT 2010»
13 years 3 months ago
Monte Carlo techniques for phrase-based translation
Recent advances in statistical machine translation have used approximate beam search for NP-complete inference within probabilistic translation models. We present an alternative ap...
Abhishek Arun, Barry Haddow, Philipp Koehn, Adam L...
COGSCI
2007
99views more  COGSCI 2007»
13 years 5 months ago
Language Evolution by Iterated Learning With Bayesian Agents
Languages are transmitted from person to person and generation to generation via a process of iterated learning: people learn a language from other people who once learned that la...
Thomas L. Griffiths, Michael L. Kalish
BMCBI
2010
101views more  BMCBI 2010»
13 years 5 months ago
Detection of copy number variation from array intensity and sequencing read depth using a stepwise Bayesian model
Background: Copy number variants (CNVs) have been demonstrated to occur at a high frequency and are now widely believed to make a significant contribution to the phenotypic variat...
Zhengdong D. Zhang, Mark B. Gerstein
NIPS
2007
13 years 6 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
SCALESPACE
2001
Springer
13 years 9 months ago
Bayesian Object Detection through Level Curves Selection
Bayesian statistical theory is a convenient way of taking a priori information into consideration when inference is made from images. In Bayesian image detection, the a priori dist...
Charles Kervrann
FGR
2002
IEEE
193views Biometrics» more  FGR 2002»
13 years 10 months ago
Face Recognition from Video: A CONDENSATION Approach
The aim of this work is to investigate how to exploit the temporal information in a video sequence for the task of face recognition. Following the approach in [11], we propose a p...
Shaohua Kevin Zhou, Volker Krüger, Rama Chell...
ECCV
2010
Springer
13 years 10 months ago
Crowd Detection with a Multiview Sampler
Abstract. We present a Bayesian approach for simultaneously estimating the number of people in a crowd and their spatial locations by sampling from a posterior distribution over cr...
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
13 years 11 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...