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» Image Classification Using Marginalized Kernels for Graphs
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PRL
2008
118views more  PRL 2008»
14 years 9 months ago
A large margin approach for writer independent online handwriting classification
This paper proposes a new approach for classifying multivariate time-series with applications to the problem of writer independent online handwritten character recognition. Each t...
Karthik Kumara, Rahul Agrawal, Chiranjib Bhattacha...
MICCAI
2009
Springer
15 years 10 months ago
MKL for Robust Multi-modality AD Classification
We study the problem of classifying mild Alzheimer's disease (AD) subjects from healthy individuals (controls) using multi-modal image data, to facilitate early identification...
Chris Hinrichs, Vikas Singh, Guofan Xu, Sterlin...
JMLR
2010
144views more  JMLR 2010»
14 years 4 months ago
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
Sándor Szedmák, Yizhao Ni, Steve R. ...
CVPR
2007
IEEE
15 years 11 months ago
Image Classification with Segmentation Graph Kernels
We propose a family of kernels between images, defined as kernels between their respective segmentation graphs. The kernels are based on soft matching of subtree-patterns of the r...
Francis Bach, Zaïd Harchaoui
ICIP
2009
IEEE
14 years 7 months ago
Windows and facades retrieval using similarity on graph of contours
The development of street-level geoviewers become recently a very active and challenging research topic. In this context, the detection, representation and classification of windo...
Jean-Emmanuel Haugeard, Sylvie Philipp-Foliguet, F...