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» Image Classification Using Marginalized Kernels for Graphs
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PRL
2008
118views more  PRL 2008»
13 years 7 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
14 years 9 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»
13 years 2 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
14 years 9 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
13 years 5 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...