This paper presents a method for accurately determining the pose of Lambertian rigid objects present in an image. An initial pose estimate computed with the aid of local point features is ameliorated by considering all visible object texture. This is achieved by combining a textured mesh model of the object with a graphics renderer to synthesize an image of the object as would be captured by th...

We deal with centralized and distributed rate-constrained estimation of random signal vectors performed using a network of wireless sensors (encoders) communicating with a fusion center (decoder). For this context, we determine lower and upper bounds on the corresponding distortion-rate (D-R) function. The nonachievable lower bound is obtained by considering centralized estimation with a single...

This study presents a dual channel decoder capable of modeling cross-speaker dependencies for segmentation and classification of fillers and feedbacks in conversational speech found in the DEAL corpus. For the same number of Gaussians per state, we have shown improvement in terms of average F-score for the successive addition of 1) increased frame rate from 10 ms to 50 ms 2) Joint Maximum Cross...

Measures such as entropy and mutual information can be used to characterise random processes. In this paper, we propose the use of several time-varying information measures, computed in the context of a probabilistic model which evolves as a sample of the process unfolds, as a way to characterise temporal structure in music. One such measure is a novel predictive information rate which we conje...

We study the permutation complexity of finite-state stationary stochastic processes based on a duality between values and orderings between values. First, we establish a duality between the set of all words of a fixed length and the set of all permutations of the same length. Second, on this basis, we give an elementary alternative proof of the equality between the permutation entropy rate and ...

A model is developed for a nonlinear line of coupled noisy threshold elements. The propagation on the line of various information-carrying signals, periodic, aperiodic or random, is analyzed. Different measures quantifying the efficacy of the propagation are calculated, including signal-to-noise ratio, cross-correlation measures, information-theoretic measures and propagation length. These meas...

We present a combined quantum-classical-stochastic dynamics method based on the flux-flux correlation function for calculating the thermal rate constants of chemical reactions in solution or in biological systems. The present method is an extension of an earlier method by Metiu and co-workers [J. Chem. Phys. 88, 2478 ( 1988) ] to include stochastic dynamics. The method is tested by applying it ...

This paper derives new bounds for the probabilities of causation defined by Pearl (2000), namely, the probability that one observed event was a necessary (or sufficient, or both) cause of another. Tian and Pearl (2000a, 2000b) showed how to bound these probabilities using information from experimental and observational studies,with minimal assumptions about the data-generating process. We deriv...

A correlation-based controller tuning method is proposed for the “Design and optimization of restricted-complexity controllers” benchmark problem. The approach originally proposed for model following is applied to solve the disturbance rejection problem. The idea is to tune the controller parameters such that the closed-loop output be uncorrelated with the measured disturbance. Since perfect de...

Stochastic discrete fracture networks (DFNs) are classically simulated using stochastic point processes which neglect mechanical interactions between fractures and yield a low spatial correlation in a network. We propose a sequential parent-daughter Poisson point process that organizes fracture objects according to mechanical interactions while honoring statistical characterization data. The hi...