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ICASSP
2008
IEEE
14 years 2 months ago
Using corpus and knowledge-based similarity measure in Maximum Marginal Relevance for meeting summarization
MMR (Maximum Marginal Relevance) is widely used in summarization for its simplicity and efficacy, and has been demonstrated to achieve comparable performance to other approaches ...
Shasha Xie, Yang Liu
TIP
2010
108views more  TIP 2010»
13 years 6 months ago
A Perceptually Relevant Approach to Ringing Region Detection
—An efficient approach toward a no-reference ringing metric intrinsically exists of two steps: first detecting regions in an image where ringing might occur, and second quantif...
Hantao Liu, Nick Klomp, Ingrid Heynderickx
TIP
2010
93views more  TIP 2010»
13 years 2 months ago
Relevance of a Feed-Forward Model of Visual Attention for Goal-Oriented and Free-Viewing Tasks
A purely bottom-up model of visual attention is proposed and compared to five state-of-the-art models. The role of the low-level visual features is examined in two contexts. Two da...
Olivier Le Meur, Jean-Claude Chevet
ICML
2009
IEEE
14 years 8 months ago
Geometry-aware metric learning
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon
ICASSP
2008
IEEE
14 years 2 months ago
Mutual information based relevance network analysis: a Parkinson'S disease study
Monitoring the dynamics of networks in the brain is of central importance in normal and disease states. Current methods of detecting networks in the recorded EEG such as correlati...
Pamela Wen-Hsin Lee, Z. Jane Wang, Martin J. McKeo...