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Titlebook: Image Analysis and Recognition; Third International Aurélio Campilho,Mohamed S. Kamel Conference proceedings 2006 Springer-Verlag Berlin H

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51#
發(fā)表于 2025-3-30 12:18:06 | 只看該作者
52#
發(fā)表于 2025-3-30 16:16:16 | 只看該作者
ng the importance of prioritising the experiences of children, young people and their advocates, this timely and engaging research will be of specific interest to scholars and students of criminal justice, crim978-1-349-95923-5978-1-137-60682-2Series ISSN 2947-9274 Series E-ISSN 2947-9282
53#
發(fā)表于 2025-3-30 16:44:25 | 只看該作者
Ling Guanng the importance of prioritising the experiences of children, young people and their advocates, this timely and engaging research will be of specific interest to scholars and students of criminal justice, crim978-1-349-95923-5978-1-137-60682-2Series ISSN 2947-9274 Series E-ISSN 2947-9282
54#
發(fā)表于 2025-3-30 23:27:42 | 只看該作者
55#
發(fā)表于 2025-3-31 01:01:47 | 只看該作者
Johan Debayle,Yann Gavet,Jean-Charles Pinoling the importance of prioritising the experiences of children, young people and their advocates, this timely and engaging research will be of specific interest to scholars and students of criminal justice, crim978-1-349-95923-5978-1-137-60682-2Series ISSN 2947-9274 Series E-ISSN 2947-9282
56#
發(fā)表于 2025-3-31 06:02:01 | 只看該作者
57#
發(fā)表于 2025-3-31 09:18:07 | 只看該作者
MPEG Postprocessing System Using Edge Signal Variable Filter
58#
發(fā)表于 2025-3-31 16:00:18 | 只看該作者
Self-Organizing Trees and Forests: A Powerful Tool in Pattern Clustering and Recognition computational technologies based on principles of Self-Organization. In this talk, we explore a new family of computing architectures that have a basis in self organization, yet are somewhat free from many of the constraints typical of other well known self-organizing architectures. The basic proce
59#
發(fā)表于 2025-3-31 20:44:40 | 只看該作者
60#
發(fā)表于 2025-3-31 22:09:06 | 只看該作者
An Efficient Post-processing Using DCT Domain Projections Onto Convex Setslts show that the proposed DPOCS without iteration gives very close PSNR and subjective quality performance compared to the conventional POCS with iterations, while it requires much less computational complexity. If we take into account typical sparseness in DCT coefficients, the DPOCS method gives
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