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ICML
2004
IEEE
14 years 8 months ago
Robust feature induction for support vector machines
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
Rong Jin, Huan Liu
CVPR
2012
IEEE
11 years 10 months ago
Two-person interaction detection using body-pose features and multiple instance learning
Human activity recognition has potential to impact a wide range of applications from surveillance to human computer interfaces to content based video retrieval. Recently, the rapi...
Kiwon Yun, Jean Honorio, Debaleena Chattopadhyay, ...
ACIIDS
2010
IEEE
170views Database» more  ACIIDS 2010»
13 years 5 months ago
On the Effectiveness of Gene Selection for Microarray Classification Methods
Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...
Zhongwei Zhang, Jiuyong Li, Hong Hu, Hong Zhou
EMNLP
2007
13 years 9 months ago
Experimental Evaluation of LTAG-Based Features for Semantic Role Labeling
In this technical report, we propose the use of Lexicalized Tree-Adjoining Grammar (LTAG) formalism as an important additional source of features for the Semantic Role Labeling (S...
Yudong Liu, Anoop Sarkar
ACL
2008
13 years 9 months ago
Which Are the Best Features for Automatic Verb Classification
In this work, we develop and evaluate a wide range of feature spaces for deriving Levinstyle verb classifications (Levin, 1993). We perform the classification experiments using Ba...
Jianguo Li, Chris Brew