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#### Structure of Divisible Discrete Random Sets and Their Randomized Superpositions

(1991)

In this paper, we present an axiomatic formulation of Discrete Random Sets, and extend Choquet's uniqueness result to obtain a recursive procedure for the computation of the underlying event- space probability law, given ...

#### Estimation of Hidden Markov Models for Partially Observed Risk Sensitive Control Problems

(1997)

We look at the problem of estimation for partially observed, risk-sensitive control problems with finite state, input and output sets, and receding horizon. We describe architectures for risk sensitive controllers, and ...

#### Optimal Wavelet Basis Selection for Signal Representation

(1994)

We study the problem of choosing the optimal wavelet basis with compact support for signal representation and provide a general algorithm for computing the optimal wavelet basis. We first briefly review the multiresolution ...

#### Time-Recursive Computation and Real-Time Parallel Architectures, Part I: Framework

(1993)

The time-recursive computation has been proved as a particularly useful tool in real-time data compression, in transform domain adaptive filtering and in spectrum analysis. Unlike the FFT based ones, the time-recursive ...

#### Combined Compression and Classification with Learning Vector Quantization

(1998)

Combined compression and classification problems are becoming increasinglyimportant in many applications with large amounts of sensory data andlarge sets of classes. These applications range from aided target recognition(ATR), ...

#### Accurate Segmentation and Estimation of Parametric Motion Fields for Object-based Video Coding using Mean Field Theory

(1997)

We formulate the problem of decomposing a scene into its constituent objects as one of partitioning the current frame into objects comprising it. The motion parameter is modeled as a nonrandom but unknown quantity and the ...

#### Exact, Recursive, Inference of Event Space Probability Law for Discrete Random Sets with Applications

(1991)

In this paper we extend Choquet's result to obtain a recursive procedure for the computation of the underlying event-space probability law for Discrete Random Sets, based on Choquet's capacity functional. This is an important ...

#### Identification of Infinite Dimensional Systems Via Adaptive Wavelet Neural Networks

(1993)

We consider identification of distributed systems via adaptive wavelet neural networks (AWNNs). We take advantage of the multiresolution property of wavelet systems and the computational structure of neural networks to ...

#### Bayesian Hypothesis Testing for Boolean Random Sets with Radial Convex Primary Grains Using Morphological Skeleton Transforms

(1991)

We consider the problem of binary hypothesis testing for planar Boolean random sets with radial convex primary grains. We show that this problem is equivalent to the problem of binary hypothesis testing for Poisson points ...

#### Scalable Coding of Video Objects

(1998)

This paper provides a methodology to encode video objects in a scalable manner with regard to both content and quality. Content scalability and quality scalability have been identified as required features in order to ...