In this paper, we introduce a novel face representation method for face recognition, called Local Line Binary pattern (LLBP), which is motivated from Local Binary pattern (LBP) due to it summarizes the local spacial s...
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ISBN:
(纸本)9780769538839
In this paper, we introduce a novel face representation method for face recognition, called Local Line Binary pattern (LLBP), which is motivated from Local Binary pattern (LBP) due to it summarizes the local spacial structure of an image by thresholding the local window with binary weight and introduce the decimal number as a texture presentation. Moreover it consumes less computational cost. the basic idea of LLBP is to first obtain the Line binary code along with horizontal and vertical direction seperately and its magnitude, which characterizes the change in image intensity such as edges and corners, is then computed. Our experimental result is evaluated on the public Yale face database B as well as its Extended version and FERET database by using Linear Discriminant Analysis (LDA) as classification. the comparative results have shown that the LLBP is more discriminative and insensitive to illumination variation and facial expression than other methods.
the paper introduces a method of finding the neighborhood of the optimal number of hidden neurons for an error backpropagation neural network with a single hidden layer. It is based on a study of the curvature of the ...
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Given two character images, we would like to measure their similarity or difference. Such a similarity or difference measure facilitates the solution to character recognition and handwriting analysis problems. there i...
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this paper presents the development and application of a novel algorithm for the detection and classification of the adaptive and neutral evolutionary patterns associated with HIV drug resistance. Here, the Bayesian t...
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ISBN:
(纸本)9781424410309
this paper presents the development and application of a novel algorithm for the detection and classification of the adaptive and neutral evolutionary patterns associated with HIV drug resistance. Here, the Bayesian theorem will be used to predict the prevalence of an evolutionary pattern over a population to determine the class of its behaviour, whether it arose predominantly from neutral evolution, positive selection or negative selection. As an illustration, we will explain the algorithmic procedure in an application to real data, focusing on two- and three-mutation patterns that confer resistance to a drug agent.
Automation of the image shearing measurement technique applied to optical fibre geometry is discussed. the use of both edge detection filters and a multi-layer perceptron neural network to identify the critical 'j...
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Automation of the image shearing measurement technique applied to optical fibre geometry is discussed. the use of both edge detection filters and a multi-layer perceptron neural network to identify the critical 'just touch' condition are compared. the repeatability of cladding diameter measurements using both methods are presented which demonstrate the superiority of the neural network technique.
In this paper we present an innovative approach to speech understanding which is based on a fine-grained knowledge representation automatically compiled from a semantic network and on iterative optimization. Besides a...
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this conference proceedings contains 43 papers, of which one is in abstract form only. Automatic visual inspection (AVI), characterized by the availability of powerful microprocessors and intelligent peripherals, is t...
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this conference proceedings contains 43 papers, of which one is in abstract form only. Automatic visual inspection (AVI), characterized by the availability of powerful microprocessors and intelligent peripherals, is the main theme. Various aspects of visual inspection and automation in industrial technology are presented. Various optical and acoustic sensors, patternrecognition systems, industrial robots, fluidic and electronic devices, television cameras, x-ray and infrared devices are described as tools in automatic inspection, testing sizing, quality control and assurance, various measurements and automatic scanning. Special attention is given to multi-coordinate measuring machines. 26 paper are indexed and abstracted separately.
Computer-guided design of effective guidance platform for music appreciation based on mixed-frequency signal recognition algorithm is studied in this paper. Based on the small parameter stochastic resonance principle ...
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ISBN:
(数字)9781665408370
ISBN:
(纸本)9781665408387;9781665408370
Computer-guided design of effective guidance platform for music appreciation based on mixed-frequency signal recognition algorithm is studied in this paper. Based on the small parameter stochastic resonance principle of bistable system, this paper uses the normalization transformation to detect and extract the weak signal mixed with large and small frequencies from the high noise background at the same time. By selecting the appropriate normalization transformation factor, the limitation of the frequency of the signal to be measured in the stochastic resonance system is eliminated, and the frequency signal that does not meet the conditions of stochastic resonance is converted into the qualified small parameter signal. Withthese theoretical basis, this study design the novel mixed-frequency signal recognition algorithm. then, the model is applied to the effective guidance platform for music appreciation. Withthe experiment analysis, the performance is then validated.
this paper presents an overview of an artificial neural network (ANN) based partial discharge (PD) distribution patternrecognition problem to power system application. After referring briefly to the developments of A...
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this paper presents an overview of an artificial neural network (ANN) based partial discharge (PD) distribution patternrecognition problem to power system application. After referring briefly to the developments of ANN technique-based PD measurements, the paper outlines how the introduction of new emerging technology has resulted in the design of a number of PD diagnostic systems for practical application in test laboratories and on site. the structure of a PD data base and selection of learning of PD data pattern, extraction of relevant characteristic feature or information for PD recognition are discussed. Some practical problems encountered in the neuro-fuzzy techniques based real time PD recognition are also addressed.
this book constitutes the refereed proceedings of the 16thinternationalconference on Engineering Applications of Neural Networks, EANN 2015, held in Rhodes, Greece, in September 2015. the 36 revised full papers pres...
ISBN:
(数字)9783319239835
ISBN:
(纸本)9783319239811;9783319239835
this book constitutes the refereed proceedings of the 16thinternationalconference on Engineering Applications of Neural Networks, EANN 2015, held in Rhodes, Greece, in September 2015. the 36 revised full papers presented together withthe abstracts of three invited talks and two tutorials were carefully reviewed and selected from 84 submissions. the papers are organized in topical sections on industrial-engineering applications of ANN; bioinformatics; intelligent medical modeling; life-earth sciences intelligent modeling; learning-algorithms; intelligent telecommunications modeling; fuzzy modeling; robotics and control; smart cameras; patternrecognition-facial mapping; classification; financial intelligent modeling; echo state networks.
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