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EMNLP
2009
14 years 7 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
ICASSP
2009
IEEE
15 years 1 months ago
High-level feature extraction using SVM with walk-based graph kernel
We investigate a method using support vector machines (SVMs) with walk-based graph kernels for high-level feature extraction from images. In this method, each image is first segme...
Jean-Philippe Vert, Tomoko Matsui, Shin'ichi Satoh...
TRECVID
2008
14 years 11 months ago
ISM TRECVID2008 High-level Feature Extraction
We studied a method using support vector machines (SVMs) with walk-based graph kernels for the high-level feature extraction (HLF) task. In this method, each image is first segmen...
Tomoko Matsui, Jean-Philippe Vert, Shin'ichi Satoh...
MICCAI
2003
Springer
15 years 10 months ago
A Multiscale Feature Detector for Morphological Analysis of the Brain
Feature detection on MR images has largely relied on intensity classification and gradient-based magnitudes. In this paper, we propose the use of phase congruency as a more robust ...
Marius George Linguraru, Miguel Ángel Gonz&...
BILDMED
2008
174views Algorithms» more  BILDMED 2008»
14 years 11 months ago
Detection of Focal Cortical Dysplasia Lesions in MRI Using Textural Features
Abstract. Focal cortical dysplasia (FCD) is a frequent cause of medically refractory partial epilepsy. The visual identification of FCD lesions on magnetic resonance images (MRI) i...
Christian Loyek, Friedrich G. Woermann, Tim W. Nat...