Publications
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SRILM at sixteen: Update and outlook
We review developments in the SRI Language Modeling Toolkit (SRILM) since 2002, when a previous paper on SRILM was published.
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Robust speech recognition using articulatory gestures in a dynamic bayesian network framework
We present a Dynamic Bayesian Network based speech recognition architecture that models the articulatory gestures as hidden variables and uses them for speech recognition.
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Verification of Evanescent Coupling from Subwavelength Grating Pairs
Near-field evanescent wave coupling of various subwavelength grating pairs, using a 1.55 μm infrared semiconductor laser has been demonstrated for use as an optical MEMS sensor.
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Unsupervised organization of image collections: taxonomies and beyond
We introduce a nonparametric Bayesian model, called TAX, which can organize image collections into a tree-shaped taxonomy without supervision.
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Private and continual release of statistics
We ask the question: how can Web sites and data aggregators continually release updated statistics, and meanwhile preserve each individual users privacy?
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In-well pumping of InGaN/GaN vertical-external-cavity surface-emitting lasers
In-well pumping of blue InGaN/GaN vertical-external-cavity surface-emitting lasers are demonstrated.
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Unsupervised organization of image collections: taxonomies and beyond
We introduce a nonparametric Bayesian model, called TAX, which can organize image collections into a tree-shaped taxonomy without supervision.
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Individuals with Disabilities Education Act’s early childhood programs: Powerful vision and pesky details
The authors examine what has been learned from Individuals With Disabilities Education Act’s two early childhood programs about the power and limitations of policy to improve the lives of young…
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Incorporating lexicon knowledge into SVM learning to improve sentiment classification
We present an alternative method that incorporates sentiment lexicons as prior knowledge with machine learning approaches such as SVM to improve the accuracy of sentiment analysis.
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PPD: Platform for Perceptual Document Analysis
PPD (Platform for Perceptual Document Analysis) is a software base for research and development of technology prototypes in document image analysis.
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Uncertainty Quantification of a Graphite Nitridation Experiment Using a Bayesian Approach
A stochastic system based Bayesian approach is applied to estimate different model parameters and hence quantify the uncertainty of a graphite nitridation experiment.
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Evaluation of Gyrase B as a Drug Target in Mycobacterium Tuberculosis
Aminobenzimidazole inhibitors of GyrB exhibit many of the characteristics required for their consideration as a potential front-line antimycobacterial therapeutic.