Titlebook: Soft Computing for Image and Multimedia Data Processing; Siddhartha Bhattacharyya,Ujjwal Maulik Textbook 2013 Springer-Verlag Berlin Heide

拘留

Ingratiate

Target Tracking Using Fuzzy Hostility Induced Segmentation of Optical Flow Field,n scene under consideration for extracting moving object-centric features. Subsequently, the selected features are used to segment/cluster the motion scene into several moving object regions. Finally, the feature space is updated based on the analysis of the segmented motion scene for future retrieval of moving object regions.

遗忘

Introduction,le information processing applications designed to operate in the real-world. Bezdek [4] referred to this synergism as .. According to Prof. Zadeh, soft computing is “an emerging approach to computing, which parallels the remarkable ability of the human mind to reason and learn in an environment of uncertainty and imprecision” [5].

清真寺

无瑕疵

Introduction,ation of essentially four other computing paradigms, viz., neural networks, fuzzy logic, rough sets and evolutionary computation, incorporating probabilistic reasoning (belief networks, genetic algorithms and chaotic systems). These computing paradigms are conjoined to provide a framework for flexib

oxidant

Transformation Invariant Image Recognition Using Multilayer Perceptron,g themselves. As mentioned in Chap. ., an MLP architecture is efficient in classifying nonlinearly-separable data points due to the presence of the hidden layers in between the input and output layers of the network architecture.

沙文主义

Energy-Efficient Intelligent Lighting Control Using a Multilayer Perceptron,the visibility of paper-based tasks carried out on desktops (horizontal desk surfaces), tool-based jobs carried out in the foundry and a score of other engagements encountered in this work-a-day world by controlling the prevailing ambient lighting condition so as to ensure the optimum recommended li

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Chronological

Binary Object Extraction by Bidirectional Self-Organizing Neural Network Architecture,gmentation of multilevel and color images are concerned. A multilevel version of the standard sigmoidal activation function was introduced in [33, 34, 232, 233] for inducing multiscaling capability in the functionality of the architecture, without increasing the network complexity in the process.

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Multilevel Object Extraction by BDSONN Architecture,input information and efficient for real-time extraction of objects from a binary noisy image has been presented. The BDSONN architecture [88, 241–244] addresses the inherent limitations of the multilayer self-organizing neural network (MLSONN) architecture [89] when it comes to the extraction of bi