COLING
2010
13 years 6 months ago
2010
Polarity shifting marked by various linguistic structures has been a challenge to automatic sentiment classification. In this paper, we propose a machine learning approach to inco...
CVPR
2010
IEEE
13 years 9 months ago
2010
IEEE
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are structured if knowing the ...
PR
2008
13 years 11 months ago
2008
The error correcting output codes (ECOC) technique is a useful way to extend any binary classifier to the multiclass case. The design of an ECOC matrix usually considers an a prio...
ICMLA
2008
14 years 19 days ago
2008
We describe our contribution to the ICMLA2008 "Automated Micro-Array Classification Challenge". The design of our classifier is motivated by the special scenario encounte...
AI
2010
Springer
14 years 24 days ago
2010
Springer
Error-Correcting Output Coding (ECOC) is a general framework for multiclass text classification with a set of binary classifiers. It can not only help a binary classifier solve mul...
ECCV
2006
Springer
14 years 2 months ago
2006
Springer
Abstract. This paper presents a novel method to solve multi-view face detection problem by Error Correcting Output Codes (ECOC). The motivation is that face patterns can be divided...
MMM
2005
Springer
14 years 4 months ago
2005
Springer
In this paper, a novel learning based method is proposed for No-Reference image quality assessment. Instead of examining the exact prior knowledge for the given type of distortion...
SGAI
2009
Springer
14 years 5 months ago
2009
Springer
Sub-class partition information within positive and negative classes is often ignored by a binary classifier, even when these detailed background information is available at hand. ...
ECCV
2008
Springer
15 years 1 months ago
2008
Springer
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to...
CVPR
2007
IEEE
15 years 1 months ago
2007
IEEE
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...