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ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
15 years 6 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
15 years 6 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
15 years 8 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
16 years 1 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»
15 years 1 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 ...