Partially Supervised Learning [electronic resource] : First IAPR TC3 Workshop, PSL 2011, Ulm, Germany, September 15-16, 2011, Revised Selected Papers / edited by Friedhelm Schwenker, Edmondo Trentin.
By: Schwenker, Friedhelm [editor.].
Contributor(s): Trentin, Edmondo [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 7081Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012Description: X, 159 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642282584.Subject(s): Computer science | Computer software | Artificial intelligence | Computer vision | Optical pattern recognition | Bioinformatics | Computer Science | Artificial Intelligence (incl. Robotics) | Pattern Recognition | Image Processing and Computer Vision | Information Systems Applications (incl. Internet) | Computational Biology/Bioinformatics | Algorithm Analysis and Problem ComplexityDDC classification: 006.3 Online resources: Click here to access online
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Springer eBooksSummary: This book constitutes thoroughly refereed revised selected papers from the First IAPR TC3 Workshop on Partially Supervised Learning, PSL 2011, held in Ulm, Germany, in September 2011. The 14 papers presented in this volume were carefully reviewed and selected for inclusion in the book, which also includes 3 invited talks. PSL 2011 dealt with methodological issues as well as real-world applications of PSL. The main methodological issues were: combination of supervised and unsupervised learning; diffusion learning; semi-supervised classification, regression, and clustering; learning with deep architectures; active learning; PSL with vague, fuzzy, or uncertain teaching signals; learning, or statistical pattern recognition; and PSL in cognitive systems. Applications of PSL included: image and signal processing; multi-modal information processing; sensor/information fusion; human computer interaction; data mining and Web mining; forensic anthropology; and bioinformatics.
This book constitutes thoroughly refereed revised selected papers from the First IAPR TC3 Workshop on Partially Supervised Learning, PSL 2011, held in Ulm, Germany, in September 2011. The 14 papers presented in this volume were carefully reviewed and selected for inclusion in the book, which also includes 3 invited talks. PSL 2011 dealt with methodological issues as well as real-world applications of PSL. The main methodological issues were: combination of supervised and unsupervised learning; diffusion learning; semi-supervised classification, regression, and clustering; learning with deep architectures; active learning; PSL with vague, fuzzy, or uncertain teaching signals; learning, or statistical pattern recognition; and PSL in cognitive systems. Applications of PSL included: image and signal processing; multi-modal information processing; sensor/information fusion; human computer interaction; data mining and Web mining; forensic anthropology; and bioinformatics.
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