Computational Vision and Medical Image Processing: VipIMAGE 2009

Author: João Manuel R.S. Tavares & R.M. Natal Jorge
Publisher: CRC Press, 2009
Pages: 464
ISBN: 978-0415570411:
Aimed at: Medical computing experts
Rating: 4
Pros: Complete papers of a 2009 conference
Cons: Very diverse
Reviewed by: Mike James

A nicdely produced set of conference proceedings with a diverse set of papers.

Author: João Manuel R.S. Tavares & R.M. Natal Jorge
Publisher: CRC Press, 2009
Pages: 464
ISBN: 978-0415570411:
Aimed at: Medical computing experts
Rating: 4
Pros: Complete papers of a 2009 conference
Cons: Very diverse
Reviewed by: Mike James

This is a collection of all of the papers presented at VipIMAGE 2009 and it joins the earlier volumes documenting previous conferences. It's hardback and very nicely produced with each paper in the style of a journal paper. The papers are gathered together into the various sessions and themes presented at the conference.

The collection is extremely diverse ranging from medical modeling to new imagine techniques. The most important thing to point out to anyone considering this collection is to say that the range of topics is heavily biased towards the medical area of application with very few pure computational vision papers with short special sections on robotics and satellite imagery looking as if they had got lost on their way to another conference.

If your topic is medical computing then this is worth adding to the library.


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Software Architecture In Practice

Author: Len Bass, Dr. Paul Clements and Rick Kazman
Publisher: Addison-Wesley Professional
Pages: 464
ISBN: 978-0136886099
Print: 0136886094
Kindle: B094CPJ96B
Audience: Software architects
Rating: 4.5
Reviewer: Kay Ewbank

This is the fourth edition of a book widely regarded as a classic since its firs [ ... ]



Mathematics for Machine Learning

Authors: Marc Peter Deisenroth, Aldo Faisal and Cheng Soon Ong
Publisher: Cambridge University Press
Pages: 398
ISBN: 978-1108455145
Print: 110845514X
Kindle: B083M7DBP6
Audience: Developers interested in machine learning
Rating: 3.5
Reviewer: Mike James
Lots of people need to learn the math behind mach [ ... ]


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Last Updated ( Tuesday, 23 March 2010 )