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Texture is one of the important characteristics used in identifying objects or regions of interest in an image, whether the image be a photomicrograph, an aerial photograph, or a satellite image. This paper describes som...

Subjects / keywords: Pattern recognition (psychology); Artificial intelligence; Texture (cosmology); Computer science; Feature (linguistics); Sample (material); Image (mathematics); Chromatography; Philosophy; Linguistics; Chemistry

Presents a theoretically very simple, yet efficient, multiresolution approach to gray-scale and rotation invariant texture classification based on local binary patterns and nonparametric discrimination of sample and prot...

In arid and semiarid areas, the interplant spaces are usually covered by physical and biological soil crusts. These crusts, though representing an almost negligible portion of the soil profile, have a number of crucial r...

We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian model, in which each item of a collection ...

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date ...

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date ...

The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable...

The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable...

The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years, due to the increased availability of documents in digital form and the ensuing n...

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTAlgebraic Representation of Thermodynamic Properties and the Classification of SolutionsOtto Redlich and A. T. KisterCite this: Ind. Eng. Chem. 1948, 40, 2, 345–348Publicatio...

To develop criteria for the classification of fibromyalgia, we studied 558 consecutive patients: 293 patients with fibromyalgia and 265 control patients. Interviews and examinations were performed by trained, blinded ass...

Abstract In this landmark work, Richard Lazarus - one of the world’s foremost authorities - offers a comprehensive treatment of the psychology of emotion, its role in adaptation, and the issues that must be addressed t...

This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-worl...

An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, c...

Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. ran...

Proteins and their functional interactions form the backbone of the cellular machinery. Their connectivity network needs to be considered for the full understanding of biological phenomena, but the available information ...

This paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general-purpose backbone for computer vision. Challenges in adapting Transformer from language to vision arise from differen...

Subjects / keywords: Psychology; Classification of mental disorders; Psychiatry; Library science; Clinical psychology; Prevalence of mental disorders; Computer science; Mental health

En la actualidad es importante detectar a tiempo la depresión, con el fin de llevar un tratamiento oportuno y mejorar la calidad de vida de las personas, este proceso de evaluación o detección requiere el uso de herra...