Sciweavers

NIPS
2004
13 years 6 months ago
An Application of Boosting to Graph Classification
This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
Taku Kudo, Eisaku Maeda, Yuji Matsumoto
ACL
2004
13 years 6 months ago
Convolution Kernels with Feature Selection for Natural Language Processing Tasks
Convolution kernels, such as sequence and tree kernels, are advantageous for both the concept and accuracy of many natural language processing (NLP) tasks. Experiments have, howev...
Jun Suzuki, Hideki Isozaki, Eisaku Maeda
ICA
2007
Springer
13 years 6 months ago
Gradient Convolution Kernel Compensation Applied to Surface Electromyograms
Abstract. This paper introduces gradient based method for robust assessment of the sparse pulse sources, such as motor unit innervation pulse trains in the filed of electromyograp...
Ales Holobar, Damjan Zazula
PAKDD
2007
ACM
110views Data Mining» more  PAKDD 2007»
13 years 10 months ago
Combining Convolution Kernels Defined on Heterogeneous Sub-structures
Convolution kernels, constructed by convolution of sub-kernels defined on sub-structures of composite objects, are widely used in classification, where one important issue is to ch...
Minlie Huang, Xiaoyan Zhu
ICIP
2007
IEEE
13 years 11 months ago
Modeling Gabor Coefficients via Generalized Gaussian Distributions for Face Recognition
Gabor filters are biologically motivated convolution kernels that have been widely used in the field of computer vision and, specially, in face recognition during the last decad...
Daniel González-Jiménez, Fernando P&...
MICCAI
2006
Springer
14 years 5 months ago
Anatomically Informed Convolution Kernels for the Projection of fMRI Data on the Cortical Surface
Abstract. We present here a method that aims at producing representations of functional brain data on the cortical surface from functional MRI volumes. Such representations are req...
Grégory Operto, Jean-Luc Anton, Olivier Cou...