Publications
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Lossy Trapdoor Functions and Their Applications
We propose a general cryptographic primitive called lossy trapdoor functions (lossy TDFs), and we use it to develop new approaches for constructing several important cryptographic tools.
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Behavior Problems in Learning Activities and Social Interactions in Head Start Classrooms and Early Reading, Mathematics, and Approaches to Learning
A series of multilevel models examined the unique contribution of early problem behavior in structured learning activities, peer interactions, and teacher interactions.
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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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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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Isotopic Reinforcement of Essential Polyunsaturated Fatty Acids Diminishes Nigrostriatal Degeneration in a Mouse Model of Parkinson’s Disease
We tested the hypothesis that isotopic reinforcement, by deuteration of the bisallylic sites most susceptible to oxidation in PUFA may provide at least partial protection against nigrostriatal injury.
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Age-Related Reorganization of Functional Networks for Successful Conflict Resolution: a Combined Functional and Structural MRI Study
To identify age-related differences in neural circuits subserving conflict processing, we combined structural and functional MRI and a Stroop Match-to-Sample task involving perceptual cueing and repetition to modulate resources in…