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» Image Classification Using Marginalized Kernels for Graphs
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FGR
2006
IEEE
255views Biometrics» more  FGR 2006»
13 years 11 months ago
Incremental Kernel SVD for Face Recognition with Image Sets
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...
Tat-Jun Chin, Konrad Schindler, David Suter
PRL
2000
76views more  PRL 2000»
13 years 7 months ago
Road sign classification using Laplace kernel classifier
Driver support systems of intelligent vehicles will predict potentially dangerous situations in heavy traffic, help with navigation and vehicle guidance and interact with a human ...
Pavel Paclík, Jana Novovicová, Pavel...
ICIP
2010
IEEE
13 years 5 months ago
Image partitioning with kernel mapping and graph cuts
A novel multiregion graph cut image partitioning method combined with kernel mapping is presented. A kernel function transforms implicitly the image data into data of a higher dim...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
TIP
2011
164views more  TIP 2011»
13 years 2 months ago
Multiregion Image Segmentation by Parametric Kernel Graph Cuts
Abstract—The purpose of this study is to investigate multiregion graph cut image partitioning via kernel mapping of the image data. The image data is transformed implicitly by a ...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
ISBI
2006
IEEE
14 years 8 months ago
Nonlinear classification of EEG data for seizure detection
We address the problem of classification of EEG recordings for the detection of epileptic seizures. We assume that the EEG measurements can be described by a low dimensional manif...
Mabel Ramírez-Vélez, Richard Staba, ...