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Pattern recognition in interdisciplinary perception and intelligence

AuthorsFernández-Caballero, Antonio; Sanfeliu, Alberto ; Shirai, Yoshiaki
Issue Date8-Feb-2008
CitationPattern Recognition Letters 29(8): 1021-1023 (2008)
AbstractPattern Recognition is the research area studying the operation and design of systems that recognise patterns in data. It encloses sub disciplines like discriminant analysis, feature extraction, error estimation, cluster analysis (together sometimes called statistical pattern recognition); grammatical inference, parsing and matching (sometimes called syntactical and structural pattern recognition). Pattern Recognition is largely related to others techniques as Computer Vision, Fuzzy Sets, Neural Networks and Kernels Classifiers, and to fields like Speech Recognition and Biological Perception, among others.
At present, Pattern Recognition is in almost all the areas of Perception, where vision systems are probably the most known, and they are used in biometrics, industry, medicine, space, robotics, natural science, etc. Although that, speech recognition systems have also became very popular for interactive helping systems in telephonic systems. During the last years, multimodal human interaction has increased attention due to the necessity of tools for human-robot interaction in dynamic and changing environments. In this area, Pattern Recognition and Computer Vision are basic techniques, and examples of them are interactive translation and transcription of music and text images, interactive retrieval of multimedia content, interactive face recognition and other biometric applications, medical imaging assisted diagnosis, computer assisted document layout analysis, multimodal dialog systems (for mobile telephones and information access devices like PDAs), cooperative tracking and recognition of human actions or assisted vehicle driving and human robot interaction.
Description3 pages.-- Editorial to the monographic issue: "Pattern Recognition in Interdisciplinary Perception and Intelligence - PRintPerclntel".
Publisher version (URL)http://dx.doi.org/10.1016/j.patrec.2008.01.023
Appears in Collections:(IRII) Artículos
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