"A practical introduction to intelligent computer vision theory, design, implementation, and technology The past decade has witnessed epic growth in image processing and intelligent computer vision technology. Advancements in machine learning methods especially among adaboost varieties and particle filtering methods have made machine learning in intelligent computer vision more accurate and reliable than ever before. The need for ex ..."
""Classification, Parameter Estimation and State Estimation" is a practical guide for data analysts and designers of measurement systems and postgraduates students that are interested in advanced measurement systems using MATLAB. 'Prtools' is a powerful MATLAB toolbox for pattern recognition and is written and owned by one of the co-authors, B. Duin of the Delft University of Technology. After an introductory chapter, the book provides t ..."
"The statistical properties of ^p(zj!k) follows from arguments that are identical to
those used in Section 5.2.5. In fact, if we quantize the measurement vector to, for
instance, the nearest centre of gravity of the bins, we end up in a situation similar
..."
"This book provides a fundamentally new approach to pattern recognition in which objects are characterized by relations to other objects instead of by using features or models. This 'dissimilarity representation' bridges the gap between the traditionally opposing approaches of statistical and structural pattern recognition. Physical phenomena, objects and events in the world are related in various and often complex ways. Such relations a ..."
Lecture Notes in Computer Science Ser. Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 : Proceedings 3138 by Ana Fred, Terry Caelli, Aurélio Campilho, Dick De Ridder 1,169 Pages, Published 2004 by Springer ISBN-13: 978-3-540-27868-9, ISBN: 3-540-27868-0
"... set to po = 03 + maxa (pos – pa} – max323, {pog - pg} + 6. The process is
repeated in a sequence of rounds until all rows o are almost happy. The slack
value, 6 determines how fast the algorithm will converge and how optimal the
final answer will be. For all our experiments we have set 6 to a small fixed value
that will guarantee convergence to an optimal solution as described in [4]. When
the procedure terminates the joint pro ..."
Lecture Notes in Computer Science Structural, Syntactic and Statistical Pattern Recognition : Joint IAPR International Workshops SSPR 2002 and SPR 2002, Windsor, Ontario, Canada, August 2002, Proceedings 2396 by Terry Caelli, Adnan Amin, Mohamed Kamel, Dick De Ridder 866 Pages, Published 2003 by Springer ISBN-13: 978-3-540-70659-5, ISBN: 3-540-70659-3