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Markov Random Field-based Renormalization Group Approach to Image
Processing Problems
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Mathematical Properties of the Annealing and Other
Stochastic Optimization Algorithms, as well as of Metropolis-type Monte Carlo
Simulation Algorithms
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Shape from Shading via MRF-type Regularization Techniques
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Multi-grid Procedures for Single Photon Emission Tomography
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Two-stage Variation of the EM Algorithm
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Efficient Methods for the Statistical Estimation
of the Parameters of MRF's from
Complete or Incomplete Data
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Consistency of Maximum-Likelihood and Other Estimators of Gibbs Distributions
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Speech Research
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Speech research focuses on object-recognition, simultaneous recognition
and tracking of moving objects, via a coherent model-based framework. The
framework explores Stochastic Hierarchical/Syntactic models (related to
Context Free Grammars (CFG)) for object representation,
non_parametric data models,
and dynamic programming-type computational algorithms;
In the case of moving objects, the framework employs nonlinear Kalman
filters for articulating the dynamics of motion.
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IMAGE PROCESSING