CSCR, which is the ?rst nationalcenter in the countryin this domain,has many important objectives including distance learning, establishing linkage to premier institutes/industries, organizing specialized courses, as well as conducting f- damental research. The conference proceedings of PReMI-05, containing rigorouslyreviewed - pers, is published by Springer in its prestigious Lecture Notes in Computer S- ence (LNCS) series. Di?erent professional sponsors and funding agencies (both national and international) came forward to support this event for its success. These include, International Association of Pattern Recognition (IAPR); Web IntelligenceConsortium(WIC); Institute ofElectricalandElectronics Engine- ing (IEEE): International Center for Pure and Applied Mathematics (CIMPA), France;Webel,GovernmentofWestBengalITCompany;DepartmentofScience & Technology (DST), India; Council of Scienti?c & Industrial Research (CSIR), India.Toencourageparticipationofbrightstudentsandyoungresearchers,some fellowships were provided. I believe the participants found PReMI-05 an academically memorable and intellectually stimulating event. It enabled young researchers to interact and establish contacts with well-known experts in the ?eld I hope that you have all enjoyed staying in Calcutta (now Kolkata), the city of Joy.
This book constitutes the refereed proceedings of the First International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005, held in Kolkata, India in December 2005.
The 108 revised papers presented together with 6 keynote talks and 14 invited papers were carefully reviewed and selected from 250 submissions. The papers are organized in topical sections on clustering, feature selection and learning, classification, neural networks and applications, fuzzy logic and applications, optimization and representation, image processing and analysis, video processing and computer vision, image retrieval and data mining, bioinformatics application, Web intelligence and genetic algorithms, as well as rough sets, case-based reasoning and knowledge discovery.
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