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ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
14 years 3 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin
HUMO
2007
Springer
14 years 3 months ago
Joint Appearance and Deformable Shape for Nonparametric Segmentation
This paper deals with region-of-interest (ROI) segmentation in video sequences. The goal is to determine in one frame the region which best matches, in terms of a similarity measur...
Sylvain Boltz, Eric Debreuve, Michel Barlaud
IUI
2009
ACM
14 years 5 months ago
MediaGLOW: organizing photos in a graph-based workspace
We designed an interactive visual workspace, MediaGLOW, that supports users in organizing personal and shared photo collections. The system interactively places photos with a spri...
Andreas Girgensohn, Frank M. Shipman III, Lynn Wil...
ICPR
2006
IEEE
14 years 10 months ago
A fast binary-image comparison method with local-dissimilarity quantification
Image similarity measure is widely used in image processing. For binary images that are not composed of a single shape, a local comparison is interesting but the features are usel...
Etienne Baudrier, Frédéric Nicolier,...
AUSDM
2008
Springer
274views Data Mining» more  AUSDM 2008»
13 years 11 months ago
Identifying Stock Similarity Based on Multi-event Episodes
Predicting stock market movements is always difficult. Investors try to guess a stock's behavior, but it often backfires. Thumb rules and intuition seems to be the major indi...
Abhi Dattasharma, Praveen Kumar Tripathi, Sridhar ...