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» Size Adaptive Selection of Most Informative Features
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EWCBR
2006
Springer
15 years 1 months ago
Unsupervised Feature Selection for Text Data
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
Nirmalie Wiratunga, Robert Lothian, Stewart Massie
CVPR
2007
IEEE
15 years 3 months ago
Target Tracking with Online Feature Selection in FLIR Imagery
We present a particle filter-based target tracking algorithm for FLIR imagery. A dual foreground and background model is proposed for target representation which supports robust ...
Vijay Venkataraman, Guoliang Fan, Xin Fan
ACL
2010
14 years 7 months ago
A Study of Information Retrieval Weighting Schemes for Sentiment Analysis
Most sentiment analysis approaches use as baseline a support vector machines (SVM) classifier with binary unigram weights. In this paper, we explore whether more sophisticated fea...
Georgios Paltoglou, Mike Thelwall
76
Voted
HCI
2009
14 years 7 months ago
Feature Extraction and Selection for Inferring User Engagement in an HCI Environment
We present our work towards estimating the engagement of a person to the displayed information of a computer monitor. Deciding whether a user is attentive or not, and frustrated or...
Stylianos Asteriadis, Kostas Karpouzis, Stefanos D...
73
Voted
INFOCOM
2006
IEEE
15 years 3 months ago
Sketch Guided Sampling - Using On-Line Estimates of Flow Size for Adaptive Data Collection
— Monitoring the traffic in high-speed networks is a data intensive problem. Uniform packet sampling is the most popular technique for reducing the amount of data the network mo...
Abhishek Kumar, Jun Xu