Publications
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The case for automatic higher-level features in forensic speaker recognition
We provide an overview of automatic higher-level systems and discuss potential advantages, as well as issues, for their use in the forensic context.
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Is Alignment Enough? Investigating the Effects of State Policies and Professional Development on Science Curriculum Implementation
This paper focuses on teachers’ perceptions of curricular alignment and on curriculum implementation using empirical data from a statewide systemic inquiry science reform effort targeting students from kindergarten to eighth…
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Modeling prior belief for speaker verification SVM systems
In this paper we propose to relax the assumption that the covariance matrix is the identity matrix, allowing it to be a more general block diagonal matrix. We show results…
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Translational Studies of Alcoholism: Bridging the Gap
Together, studies in humans and animal models have provided support for the involvement of specific brain structures over the course of alcohol addiction.
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Weakly Supervised Training for Parsing Mandarin Broadcast Transcripts
We compare co-training to self-training, and our results show that performance using co-training is significantly better than with self-training and both co-training and self-training with a small seed labeled corpus…
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Development of the SRI/Nightingale Arabic ASR System
We describe the large vocabulary automatic speech recognition system developed for Modern Standard Arabic used for the 2007 GALE evaluation as part of the speech translation system.
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Fast Color/Texture Segmentation for Outdoor Robots
We present results of applying our descriptor for segmenting a synthetic image and compare it against other state-of-the-art descriptors.
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Gene Expression Analysis Reveals New Possible Mechanism of Vancomycin-Induced Nephrotoxicity and Identifies Gene Markers Candidates
The goals of this study were to gain insights into molecular mechanisms of nephrotoxicity at the genomic level, evaluate gene markers of vancomycin-induced kidney injury, and compare gene expression responses…
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Logical Hierarchical Hidden Markov Models for Modeling User Activities
In this work we develop a representation that naturally combines the power of both relational and hierarchical models in the form of Logical Hierarchical Hidden Markov Models (LoHiHMMs).
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Acceleration Compensation for Vehicle Based Telesurgery on Earth or in Space
This paper introduces new work focused on compensating for unintended master and slave manipulator motion resulting from accelerations of the environment within which they are operated.
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The CACHE study: group effects in computer-supported collaborative analysis
The present study evaluates some effects of group composition in distributed intelligence analysis.
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Ad-hoc guesting: when exceptions are the rule
We performed an ethnographic field study, interviewing a selected group of subjects about their practices around access control, security and file sharing.