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CVPR
2012
IEEE
13 years 9 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
PAKDD
2010
ACM
208views Data Mining» more  PAKDD 2010»
15 years 8 months ago
Efficient Pattern Mining of Uncertain Data with Sampling
Mining frequent itemsets from transactional datasets is a well known problem with good algorithmic solutions. In the case of uncertain data, however, several new techniques have be...
Toon Calders, Calin Garboni, Bart Goethals
GECCO
2004
Springer
104views Optimization» more  GECCO 2004»
16 years 5 days ago
A Genetic Approach for Gene Selection on Microarray Expression Data
Abstract. Microarrays allow simultaneous measurement of the expression levels of thousands of genes in cells under different physiological or disease states. Because the number of...
Yong-Hyuk Kim, Su-Yeon Lee, Byung Ro Moon
PPSN
2000
Springer
15 years 10 months ago
Competitive Segmentation: A Struggle for Image Space
In this paper, we propose a competitive image segmentation algorithm. It is a dynamic evolving optimization method, which we call the population algorithm. The method is inspired f...
Cor J. Veenman, Marcel J. T. Reinders, Eric Backer
WEA
2005
Springer
93views Algorithms» more  WEA 2005»
16 years 7 days ago
From Static Code Distribution to More Shrinkage for the Multiterminal Cut
We present the problem of statically distributing instructions of a common programming language, a problem which we prove equivalent to the multiterminal cut problem. We design eļ¬...
Bram De Wachter, Alexandre Genon, Thierry Massart