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IJCV
2008
266views more  IJCV 2008»
14 years 12 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 1 months ago
Semi-supervised Feature Selection via Spectral Analysis
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
Zheng Zhao, Huan Liu
HRI
2007
ACM
15 years 3 months ago
On-line behaviour classification and adaptation to human-robot interaction styles
This paper presents a proof-of-concept of a robot that is adapting its behaviour on-line, during interactions with a human according to detected play styles. The study is part of ...
Dorothée François, Daniel Polani, Ke...
ICDM
2007
IEEE
161views Data Mining» more  ICDM 2007»
15 years 6 months ago
Experimental Comparison of Feature Subset Selection Methods
In the field of machine learning and pattern recognition, feature subset selection is an important area, where many approaches have been proposed. In this paper, we choose some fe...
Chulmin Yun, Jihoon Yang
TAL
2010
Springer
14 years 10 months ago
Summarization as Feature Selection for Document Categorization on Small Datasets
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
Emmanuel Anguiano-Hernández, Luis Villase&n...