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MLDM
2009
Springer
15 years 9 months ago
A Two-fold PCA-Approach for Inter-Individual Recognition of Emotions in Natural Walking
This paper describes recognition of emotions of an unkown person during natural walking. As gait data is redundant, high dimensional and variable, effective feature extraction is ...
Michelle Karg, Robert Jenke, Kolja Kühnlenz, ...
117
Voted
INFORMATICASI
2002
91views more  INFORMATICASI 2002»
15 years 2 months ago
Using Image Segmentation as a Basis for Categorization
Image categorization is the problem of classifying images into one or more of several possible categories or classes, which are defined in advance. Classifiers can be trained usin...
Janez Brank
157
Voted
BMCBI
2007
207views more  BMCBI 2007»
15 years 2 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
EMNLP
2009
15 years 5 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
80
Voted
AAAI
2006
15 years 3 months ago
Learning Noun-Modifier Semantic Relations with Corpus-based and WordNet-based Features
We study the performance of two representations of word meaning in learning noun-modifier semantic relations. One representation is based on lexical resources, in particular WordN...
Vivi Nastase, Jelber Sayyad-Shirabad, Marina Sokol...