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VISUALIZATION
2002
IEEE
15 years 4 months ago
Comparative Evaluation of Visualization and Experimental Results Using Image Comparison Metrics
Comparative evaluation of visualization and experiment results is a critical step in computational steering. In this paper, we present a study of image comparison metrics for quan...
Hualin Zhou, Min Chen, Mike F. Webster
PR
2006
164views more  PR 2006»
14 years 11 months ago
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Hong Chang, Dit-Yan Yeung
LICS
2007
IEEE
15 years 6 months ago
Game Relations and Metrics
We consider two-player games played over finite state spaces for an infinite number of rounds. At each state, the players simultaneously choose moves; the moves determine a succ...
Luca de Alfaro, Rupak Majumdar, Vishwanath Raman, ...
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 7 days ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
DESRIST
2009
Springer
132views Education» more  DESRIST 2009»
15 years 4 months ago
Measuring information volatility in a health care information supply chain
We propose a measure of reliability called information volatility (IV) to complement Business Intelligence tools when considering aggregated data or when observing trends. Two typ...
Monica Chiarini Tremblay, Donald J. Berndt, Alan R...