PATTERN RECOGNITION BY HUMANS AND MACHINES/
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A Tutorial on Support Vector Machines for Pattern Recognition
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Article
Subjects / keywords: Support vector machine; Dimension (graph theory); Generalization; Structural risk minimization; Mathematical proof; Computer science; Kernel (algebra); VC dimension; Separable space; Construct (python library); Polynomia...
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Material complementarioComputación para el Desarrollo. XII Congreso
E-book
E-book
El eje central de la XII edición del congreso (COMPDES2019) ha sido nuevamente el Internet de las Cosas (Internet of Things). Este eje se tomado como orientación general de los trabajos con las siguientes líneas temá...
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InstitucionalNonlinear Component Analysis as a Kernel Eigenvalue Problem
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Article
A new method for performing a nonlinear form of principal component analysis is proposed. By the use of integral operator kernel functions, one can efficiently compute principal components in high-dimensional feature spa...
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Página del recursoDetection and automatic identification of car plates
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Text / resource
This work is a pattern recognition application using digital images processing and neural networks, applied to the automatic recognition of car plates. There is a wide range of problems to be solved, which go from the s...
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Open AccessGradient-based learning applied to document recognition
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Article
Multilayer neural networks trained with the back-propagation algorithm constitute the best example of a successful gradient based learning technique. Given an appropriate network architecture, gradient-based learning alg...
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Material complementarioParallel backpropagation neural networks forTask allocation by means of PVM
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Text / resource
Features such as fast response, storage efficiency, fault tolerance and graceful degradation in face of scarce or spurious inputs make neural networks appropriate tools for Intelligent Computer Systems. A neural network ...
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Material complementarioA model of saliency-based visual attention for rapid scene analysis
Article
Article
A visual attention system, inspired by the behavior and the neuronal architecture of the early primate visual system, is presented. Multiscale image features are combined into a single topographical saliency map. A dynam...
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Material complementarioThe random subspace method for constructing decision forests
Article
Article
Much of previous attention on decision trees focuses on the splitting criteria and optimization of tree sizes. The dilemma between overfitting and achieving maximum accuracy is seldom resolved. A method to construct a de...
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