Publications
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Statistical Language Modeling for Speech Disfluencies
We introduce a language model that predicts disfluencies probabilistically and uses an edited, fluent context to predict following words. It uses dynamic programming to compute the probability of a word…
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The Fundamental matrix: theory, algorithms, and stability analysis
We analyze in some detail the geometry of a pair of cameras, i.e., a stereo rig. Contrarily to what has been done in the past and is still done currently,…
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A Machine Learning Architecture for Optimizing Web Search Engines
We describe a wide range of such heuristics including a novel one inspired by reinforcement learning techniques for propagating rewards through a graph|which can be used to affect a search…
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Designing For Cognitive Communication: Epistemic Fidelity Or Mediating Collaborating Inquiry
aps between worldviews prevent students from interpreting displays literally, and thus limit the extent to which communication can be achieved by representing knowledge accurately. Hence, rather than merely representing mental…
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A Phone-Dependent Confidence Measure for Utterance Rejection
An acoustic confidence measure for acceptance/rejection of recognition hypotheses for continuous speech utterances is proposed. This measure is useful for rejecting utterances that are out of domain, or contain out-of-vocabulary…
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HinCyc: A Knowledge Base of the Complete Genome and Metabolic Pathways of H. influenzae
We present a methodology for predicting the metabolic pathways of an organism from its genomic sequence.
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Ropes: an alternative to strings
We claim that the traditional implementations of strings, and often the supported functionality, are not well suited to such general-purpose use.
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Expert systems versus systems for experts
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The role of intelligent systems in the national information infrastructure
AI techniques can play a central role in the development of a useful and usable NII by (1) enabling the construction of human-computer interface systems that are goal-oriented, cooperative, and…
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A Robust Technique for Matching Two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry
This paper proposes a robust approach to image matching by exploiting the only available geometric constraint, namely, the epipolar constraint.
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Training Data Clustering for Improved Speech Recognition
We present an approach to cluster the training data for automatic speech recognition (ASR). A relative entropy based distance metric between training data clusters is defined.
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A Comparative Study of Speaker Adaptation Techniques
In this paper, we study various ML-based techniques and compare experimental results on data sets with recordings from nonnative and native speakers of American English. In feature-space techniques, we hypothesize…