The 13th Iberoamerican Congress on Pattern Recognition (CIARP 2008, C- greso IberoAmericano de Reconocimiento de Patrones) was the 13th event in a seriesofpioneercongressesonpatternrecognitioninthecommunityofIberoam- icancountries. As was the case for previous conferences, CIARP 2008 attracted participants from around the world with the aim of promoting and disseminating ongoing researchon mathematical methods and computing techniques for pattern rec- nition, computer vision, image analysis, and speech recognition, as well as their application in such diverse areas as robotics, industry, health, entertainment, space exploration, telecommunications, data mining, document analysis, and natural language processing and recognition to name only few of them. Mo- over, it provided a forum for scienti?c research, experience exchange, share of new knowledge and an increase in cooperation between research groups in p- tern recognition and related areas. It is important to underline the fact that these conferences have contributed signi?cantly to the growth of national associations for pattern recognitionin the Iberoamerican region, all of them as members of the International Association for Pattern Recognition (IAPR). This year, the forum attracted participants from 34 countries (8 from Iberoamerica), who submitted a total of 182 papers. After a serious reviewing process in which allthe submissions where double-blind reviewedby at least two prestigiousreviewers,93 papersby180authors from29 countries wereaccepted, all of them with a scienti?c quality above overall mean rating.
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This book constitutes the refereed proceedings of the 13th Iberoamerican Congress on Pattern Recognition, CIARP 2008, held in Havana, Cuba, in September 2008.
The 93 revised full papers presented together with 3 keynote articles were carefully reviewed and selected from 182 submissions. The papers are organized in topical sections on signal analysis for characterization and filtering, analysis of shape and texture, analysis of speech and language, data mining, clustering of images and documents, statistical pattern recognition, classification and description of objects, classification and edition, geometric image analysis, neural networks, computer vision, image coding, associative memories and neural networks, interpolation and video tracking, images analysis, music and speech analysis, as well as classifier combination and document filtering.
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