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AAAI
2006
15 years 4 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...
ICIP
2008
IEEE
16 years 4 months ago
Learning structurally discriminant features in 3D faces
In this paper, we derive a data mining framework to analyze 3D features on human faces. The framework leverages kernel density estimators, genetic algorithm and an information com...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
ICPR
2008
IEEE
16 years 3 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
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TRECVID
2008
15 years 4 months ago
Learning TRECVID'08 High-Level Features from YouTube
Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+tex...
Adrian Ulges, Christian Schulze, Markus Koch, Thom...
EMNLP
2007
15 years 4 months ago
Determining Case in Arabic: Learning Complex Linguistic Behavior Requires Complex Linguistic Features
This paper discusses automatic determination of case in Arabic. This task is an important part and major source of errors in full diacritization of Arabic. We use a goldstandard s...
Nizar Habash, Ryan Gabbard, Owen Rambow, Seth Kuli...