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Pixelization Paradigm - Visual Information Expert Workshop, VIEW 2006, Paris, France, April 24-25, 2006, Revised Selected... Pixelization Paradigm - Visual Information Expert Workshop, VIEW 2006, Paris, France, April 24-25, 2006, Revised Selected Papers (Paperback, 2007 ed.)
Pierre P. Levy, Benedicte Le Grand, Francois Poulet, Michel Soto, Laszlo Darago, …
R1,569 Discovery Miles 15 690 Ships in 10 - 15 working days

This book constitutes the thoroughly refereed post-proceedings of the Visual Information Expert Workshop, VIEW 2006, held in Paris, France, in April 2006.

The 23 revised full papers were carefully selected from numerous submissions during two rounds of reviewing and improvement. The book is categorized in three main parts: pixelization theory, pixelization applications, pixelization and cognition. The papers are organized in topical sections on pixelization, pixelization and multidimensional data, spatial pixelization, temporal pixelization, qualitative pixelization, as well as pixelization and cognition.

Large Scale Support Vector Machines Algorithms for Visual Recognition (Paperback): Thanh-Nghi Doan, Francois Poulet Large Scale Support Vector Machines Algorithms for Visual Recognition (Paperback)
Thanh-Nghi Doan, Francois Poulet
R2,066 Discovery Miles 20 660 Ships in 10 - 15 working days

Visual recognition remains an extremely challenging problem in computer vision. Most previous approaches have been evaluated on small datasets. However, ImageNet dataset with millions images for thousands classes poses more challenges for the next generation of vision mechanisms. Learning an efficient visual classifier and constructing a robust visual representation in a large scale scenario are two main research issues. In this book, we present how to tackle these issues. Firstly, a novel approach is presented by using several local descriptors to improve the discriminative power of image representation. Secondly, the state-of-the-art SVMs are extended by building the balanced bagging classifiers with sampling strategy and parallelizing the training process with several multi-core computers. Thirdly, the binary stochastic gradient descent SVM is developed to the new multiclass SVM for efficiently classifying large image datasets into many classes. Finally, when the training data cannot fit into computer memory, the training task of SVM becomes more complicated to deal with. This challenge is addressed by an incremental learning method for both large scale linear and nonlinear SVMs

The State of Resistance - Popular Struggles in the Global South (Paperback): Francois Polet The State of Resistance - Popular Struggles in the Global South (Paperback)
Francois Polet
R1,485 Discovery Miles 14 850 Ships in 10 - 15 working days

This indispensable book offers a panorama of social resistances to neoliberal globalization in the South. Writers and activists from forty different countries or regions offer snapshots of the latest mobilizations, from the anti-privatization groups in South Africa and the anti-WTO campaign of peasants in India, to the indigenous movement behind Evo Morales in Bolivia. The book focuses on a range of diverse popular struggles that impact on democratic and development process, yet receive little public attention or are caricatured by mainstream media. It reveals collective tensions throughout those societies whose material bases have been profoundly shaken by a series of adjustments dictated by the canons of the globalized economy. It is an essential guide to the latest developments in social movements. Edited by Francois Polet of the Centre Tricontinental, it includes contributions from key activists and scholars such as Vinod Raina, Michel Warschawski, Maristella Svampa and Mahaman Tidjani.

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