New Results on Energy Balance Analysis of Metabolic Networks
A central and long-standing objective of cellular physiology has been to understand the metabolic capabilities of living cells. In this paper, we perform optimization of metabolic networks in E.Coli under both flux and energy balance constraints. The impa
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Editorial Board David Hutchison Lancaster University, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Switzerland John C. Mitchell Stanford University, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel Oscar Nierstrasz University of Bern, Switzerland C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen University of Dortmund, Germany Madhu Sudan Massachusetts Institute of Technology, MA, USA Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Moshe Y. Vardi Rice University, Houston, TX, USA Gerhard Weikum Max-Planck Institute of Computer Science, Saarbruecken, Germany
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Ashish Ghosh Rajat K. De Sankar K. Pal (Eds.)
Pattern Recognition and Machine Intelligence Second International Conference, PReMI 2007 Kolkata, India, December 18-22, 2007 Proceedings
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Volume Editors Ashish Ghosh Rajat K. De Sankar K. Pal Machine Intelligence Unit Indian Statistical Institute 203 B. T. Road, Kolkata 700108, India E-mail: ash, rajat, [email protected]
Library of Congress Control Number: 2007940552 CR Subject Classification (1998): I.4, F.1, I.2, I.5, J.3, C.2.1, C.1.3 LNCS Sublibrary: SL 6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics ISSN ISBN-10 ISBN-13
0302-9743 3-540-77045-3 Springer Berlin Heidelberg New York 978-3-540-77045-9 Springer Berlin Heidelberg New York
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Message from the General Chair
Pattern recognition and machine intelligence form a major area of research and developmental activities that encompass the processing of multimedia information obtained from the interaction among science, technology and society. An important motivation behind the spurt of activity in this field is the desire to design and make intelligent machines capable of performing certain tasks that we human beings do. Potential applications exist in forefront research areas like computational biology, data mining, Web intelligence, brain mapping, global positioning systems, medical imaging, forensic
