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» Temporal Data Classification Using Linear Classifiers
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KDD
2004
ACM
163views Data Mining» more  KDD 2004»
16 years 2 months ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi
CHI
2009
ACM
15 years 3 months ago
Spatio-temporal interest points for video analysis
In this paper, we discuss the potential for effective representations of video data to aid analysis of large datasets of video clips and describe a prototype developed to explore ...
Ramsin Khoshabeh, James D. Hollan
ISBI
2008
IEEE
15 years 8 months ago
Support vector driven Markov random fields towards DTI segmentation of the human skeletal muscle
In this paper we propose a classification-based method towards the segmentation of diffusion tensor images. We use Support Vector Machines to classify diffusion tensors and we ex...
Radhouène Neji, Gilles Fleury, Jean Francoi...
EMNLP
2009
15 years 7 days 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
VIS
2008
IEEE
120views Visualization» more  VIS 2008»
16 years 3 months ago
Size-based Transfer Functions: A New Volume Exploration Technique
The visualization of complex 3D images remains a challenge, a fact that is magnified by the difficulty to classify or segment volume data. In this paper, we introduce size-based tr...
Carlos D. Correa, Kwan-Liu Ma