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» Kernels for Global Constraints
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FGR
2008
IEEE
151views Biometrics» more  FGR 2008»
14 years 3 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
13 years 10 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»
13 years 7 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
14 years 10 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
14 years 9 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