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Pattern Recognition and Machine Learning

TLDR
An accelerated stochastic approximation algorithm is developed for the identification of weighting function associated with boundary control in one-dimensional linear distributed-parameter systems.
Abstract
An accelerated stochastic approximation algorithm is developed for the identification of weighting function associated with boundary control in one-dimensional linear distributed-parameter systems. The weighting function is assumed to be variable separable, and each variable is approximated by a finite number of orthonormal polynomials. In the absence of noise, this algorithm will converge in a finite number of steps. For adaptive control, on-line weighting function estimators are developed which use the optimal control function as input. These estimators are functional gradient algorithms based on least square approach. They can be used for estimating weighting function associated with either boundary or distributed control.

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Journal ArticleDOI

Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses.

TL;DR: Flow cytometry is a technique, which allows one to analyze cells rapidly and individually and permits the quantitative analysis of microbial heterogeneity, and offers many advantages over conventional measurements for both routine and more exploratory analyses of microbial properties.
Journal ArticleDOI

Machine Learning: Algorithms, Real-World Applications and Research Directions

TL;DR: In this paper, the authors present a comprehensive view on these machine learning algorithms that can be applied to enhance the intelligence and the capabilities of an application and highlight the challenges and potential research directions based on their study.
Book ChapterDOI

Hierarchical Classifiers for Complex Spatio-temporal Concepts

TL;DR: The general methodology presented here is applied to approximate spatial complex concepts and spatio-temporal complex concepts defined for (un)structured complex objects, to identify the behavioral patterns ofcomplex objects, and to the automated behavior planning for such objects when the states of objects are represented by spatio/temporal concepts requiring approximation.
Journal ArticleDOI

Classification of pyrolysis mass spectra by fuzzy multivariate rule induction-comparison with regression, K-nearest neighbour, neural and decision-tree methods

TL;DR: The fuzzy multivariate rule building export system (FuRES) is applied to solve classification problems using two pyrolysis mass spectral data sets and it is considered that the ranking of these methods on the basis of these two data sets is in order of decreasing utility.
Proceedings ArticleDOI

Deep learning feature extraction for target recognition and classification in underwater sonar images

TL;DR: This paper presents an automatic target recognition (ATR) approach for sonar onboard unmanned underwater vehicles (UUVs) that can be combined with onboard planning and control systems to develop autonomous UUVs able to search for underwater targets without human intervention.
References
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Book

The perception: a probabilistic model for information storage and organization in the brain

F. Rosenblatt
TL;DR: The second and third questions are still subject to a vast amount of speculation, and where the few relevant facts currently supplied by neurophysiology have not yet been integrated into an acceptable theory as mentioned in this paper.
Journal ArticleDOI

Receptive fields and functional architecture in two nonstriate visual areas (18 and 19) of the cat.

TL;DR: To UNDERSTAND VISION in physiological terms represents a formidable problem for the biologist, and one approach is to stimulate the retina with patterns of light while recording from single cells or fibers at various points along the visual pathway.
Journal ArticleDOI

Discharge patterns and functional organization of mammalian retina

TL;DR: The Limulus preparation shows many features which are similar to other simple sense organs, for instance, stretch receptors, however, instead of photochemical events, stretch-deformation acts as the adequate stimulus on sensory terminals and is translated into a characteristic discharge pattern.
Book

Individual Choice Behavior

Journal ArticleDOI

Stochastic Estimation of the Maximum of a Regression Function

TL;DR: In this article, the authors give a scheme whereby, starting from an arbitrary point, one obtains successively $x_2, x_3, \cdots$ such that the regression function converges to the unknown point in probability as n \rightarrow \infty.