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CVPR
2012
IEEE
13 years 8 months ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee
ICASSP
2011
IEEE
14 years 10 months ago
Image compression using the Iteration-Tuned and Aligned Dictionary
We present a new, block-based image codec based on sparse representations using a learned, structured dictionary called the IterationTuned and Aligned Dictionary (ITAD). The quest...
Joaquin Zepeda, Christine Guillemot, Ewa Kijak
ECIR
2008
Springer
15 years 7 months ago
Semantic Relationships in Multi-modal Graphs for Automatic Image Annotation
It is important to integrate contextual information in order to improve the inaccurate results of current approaches for automatic image annotation. Graph based representations all...
Vassilios Stathopoulos, Jana Urban, Joemon M. Jose
BILDMED
2004
125views Algorithms» more  BILDMED 2004»
15 years 7 months ago
Fast and Accurate Interactive Image Segmentation in the GEOMAP Framework
Although many interactive segmentation methods exists, none can be considered a silver bullet for all clinical tasks. Moreover, incompatible data representations prevent multiple a...
Hans Meine, Ullrich Köthe, H. Siegfried Stieh...
AAAI
2012
13 years 8 months ago
Multi-Label Learning by Exploiting Label Correlations Locally
It is well known that exploiting label correlations is important for multi-label learning. Existing approaches typically exploit label correlations globally, by assuming that the ...
Sheng-Jun Huang, Zhi-Hua Zhou