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» Kernels for Global Constraints
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FGR
2008
IEEE
151views Biometrics» more  FGR 2008»
16 years 1 months ago
Motion image segmentation using global criteria and DP
We propose methods for segmenting a motion sequence into motion primitives, taking into account temporal constraints (continuity along the time axis). In the proposed methods, dyn...
Takumi Kobayashi, Fumito Yoshikawa, Nobuyuki Otsu
SEDE
2007
15 years 8 months ago
A framework for constraint checking involving aggregates for multiple XML databases using schematron
Many internet and enterprise applications now not only use XML (eXtensible Markup Language) as a medium for communication but also for storing their data either temporarily for an...
Albin Laga, Praveen Madiraju
SMI
2010
IEEE
165views Image Analysis» more  SMI 2010»
15 years 4 months ago
Designing a Topological Modeler Kernel: A Rule-Based Approach
In this article, we present a rule-based language dedicated to topological operations, based on graph transformations. Generalized maps are described as a particular class of graph...
Thomas Bellet, Mathieu Poudret, Agnès Arnou...
ICPR
2008
IEEE
16 years 7 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
DCC
2009
IEEE
16 years 7 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang