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ICASSP
2011
IEEE
13 years 2 months ago
Dirichlet Mixture Models of neural net posteriors for HMM-based speech recognition
In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural network directly in the HMM framework using the Dirichlet Mixtu...
Balakrishnan Varadarajan, Garimella S. V. S. Sivar...
NAR
2010
107views more  NAR 2010»
13 years 5 months ago
PLAST-ncRNA: Partition function Local Alignment Search Tool for non-coding RNA sequences
Alignment-based programs are valuable tools for finding potential homologs in genome sequences. Previously, it has been shown that partition function posterior probabilities attun...
Satish Chikkagoudar, Dennis R. Livesay, Usman Rosh...
RECOMB
2010
Springer
13 years 9 months ago
Predicting Nucleosome Positioning Using Multiple Evidence Tracks
Abstract. We describe a probabilistic model, implemented as a dynamic Bayesian network, that can be used to predict nucleosome positioning along a chromosome based on one or more g...
Sheila M. Reynolds, Zhiping Weng, Jeff A. Bilmes, ...
CSL
2008
Springer
13 years 11 months ago
Tone-enhanced generalized character posterior probability (GCPP) for Cantonese LVCSR
Tone-enhanced, generalized character posterior probability (GCPP), a generalized form of posterior probability at subword (Chinese character) level, is proposed as a rescoring met...
Yao Qian, Frank K. Soong, Tan Lee
UAI
2001
14 years 8 days ago
A Bayesian Multiresolution Independence Test for Continuous Variables
In this paper we present a method of computing the posterior probability of conditional independence of two or more continuous variables from data, examined at several resolutions...
Dimitris Margaritis, Sebastian Thrun
AAAI
2004
14 years 9 days ago
On the Optimality of Probability Estimation by Random Decision Trees
Random decision tree is an ensemble of decision trees. The feature at any node of a tree in the ensemble is chosen randomly from remaining features. A chosen discrete feature on a...
Wei Fan
ACCV
2009
Springer
14 years 1 months ago
Image Classification Using Probability Higher-Order Local Auto-Correlations
Abstract. In this paper, we propose a novel method for generic object recognition by using higher-order local auto-correlations on probability images. The proposed method is an ext...
Tetsu Matsukawa, Takio Kurita
FGR
2000
IEEE
167views Biometrics» more  FGR 2000»
14 years 2 months ago
Comparison of Confidence Measures for Face Recognition
This paper compares different confidence measures for the results of statistical face recognition systems. The main applications of a confidence measure are rejection of unknown p...
Stefan Eickeler, Mirco Jabs, Gerhard Rigoll
MCS
2005
Springer
14 years 4 months ago
Ensemble Confidence Estimates Posterior Probability
We have previously introduced the Learn++ algorithm that provides surprisingly promising performance for incremental learning as well as data fusion applications. In this contribut...
Michael Muhlbaier, Apostolos Topalis, Robi Polikar
IJCNN
2007
IEEE
14 years 5 months ago
A Hybrid HMM/ANN Based Approach for Online Signature Verification
: This paper presents a new approach based on HMM/ANN hybrid for online signature verification. A group of ANNs are used as local probability estimators for an HMM. The Viterbi alg...
Zhong-Hua Quan, De-Shuang Huang, Kun-hong Liu, Kwo...