Dominant accounts of visual processing in autism posit that autistic individuals have an enhanced access to details of scenes [e.g., weak central coherence] which is reflected in a general bias toward local processing. Furthermore, the attenuated priors account of autism predicts that the updating and use of summary representations is reduced in autism. Ensemble perception describes the extract...

This paper investigates a number of ensemble methods for improving the performance of phoneme classification for use in a speech recognition system. Two ensemble methods are described; boosting and mixtures of experts, both in isolation and in combination. Results are presented on two speech recognition databases: an isolated word database and a large vocabulary continuous speech database. Thes...

The basic microsopic physical laws are time reversible. In contrast, the second law of thermodynamics, which is a macroscopic physical representation of the world, is able to describe irreversible processes in an isolated system through the change of entropy 4S > 0. It is the attempt of the present manuscript to bridge the microscopic physical world with its macrosocpic one with an alternative ...

Spatial-correlation properties of the wave functions (eigenvectors) of a spin-one eigenproblem for dipole interaction is studied for random geometries of the underlying system. This problem describes, in particular, polar excitations (“plasmons”) of large clusters. In contrast to Berry’s conjecture of quantum chaos for massive particles, we have found long-range spatial correlations for wave fu...

Cellular processes involve complex arrangement of proteins engaged in a multitude of reactions, yet in a highly coordinated manner. The level of complexity, however, makes it difficult to investigate the role played by the individual protein constituent. Data taken from the conventional bulk solution methods suffer from ensemble averaging effect in which information from individual molecules is...

In radar and sonar signal processing it is of interest to achieve accurate estimation of signal characteristics. Recorded pulse data have uncertainties due to emitter and receiver noise, and due to digital sampling and quantization in the receiver system. It is therefore important to quantify these effects through theory and experiment in order to construct “smart” pulse processing algorithms w...