Search academic resources

Subjects / keywords: ACADEMIC PRESS; 003.52 P316p

Subjects / keywords: Computer science; Artificial intelligence; Pattern recognition (psychology)

This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features. The face image is divided into several regions from which the LBP feature distributions are extr...

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...

La detección de regiones y objetos en imágenes digitales es un tema de suma importancia en la resolución de numerosos problemas correspondientes al área de reconocimiento de patrones. En esta dirección los algoritmo...

Rough Sets Theory has opened new trends for the development of the Incomplete Information Theory. Inside this one, the notion of reduct is a very significant one, but to obtain a reduct in a decision system is an expensi...

An Optical Character Recognition (OCR) approach for printed Arabic script is presented in this paper, Which is one of the most popular scripts in the world. Development of an OCR system. For Arabic script it is difficult...

Subjects / keywords: Biology; Innate immune system; Pattern recognition receptor; Immune system; Immune receptor; Autoimmunity; Receptor; Immunity; Immunology; Innate lymphoid cell; Acquired immune system; Pathogen-associated molecular patte...

In recent years there has been a growing interest in the study of sparse representation of signals. Using an overcomplete dictionary that contains prototype signal-atoms, signals are described by sparse linear combinatio...

We show how to use "complementary priors" to eliminate the explaining-away effects that make inference difficult in densely connected belief nets that have many hidden layers. Using complementary priors, we derive a fast...

Subjects / keywords: Intraclass correlation; Reliability (semiconductor); Region of interest; Cerebral cortex; Computer science; Magnetic resonance imaging; Artificial intelligence; Pattern recognition (psychology); Cortex (anatomy); Human b...

This paper presents a method for recognizing scene categories based on approximate global geometric correspondence. This technique works by partitioning the image into increasingly fine sub-regions and computing histogra...

Subjects / keywords: Robustness (evolution); Mathematics; Artificial intelligence; Computer science; Algorithm; Machine learning; Kernel (algebra); Decision tree; Tree (set theory); Pattern recognition (psychology); Mathematical analysis; Ch...

High-dimensional data can be converted to low-dimensional codes by training a multilayer neural network with a small central layer to reconstruct high-dimensional input vectors. Gradient descent can be used for fine-tuni...

Subjects / keywords: Computer science; Robustness (evolution); Artificial intelligence; Hessian matrix; Detector; Computer vision; Invariant (physics); Pattern recognition (psychology); Mathematics; Gene; Telecommunications; Biochemistry

Subjects / keywords: Spatial normalization; Fractional anisotropy; Diffusion MRI; Computer science; Smoothing; Artificial intelligence; Interpretability; Pattern recognition (psychology); Voxel; Magnetic resonance imaging; Computer vision; R...