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CVPR
2010
IEEE
16 years 4 months ago
Discriminative Clustering for Image Co-segmentation
Purely bottom-up, unsupervised segmentation of a single image into two segments remains a challenging task for computer vision. The co-segmentation problem is the process of joi...
Armand Joulin, Francis Bach, Jean Ponce
AVSS
2009
IEEE
16 years 2 months ago
Clustered Synopsis of Surveillance Video
—Millions of surveillance cameras record video around the clock, producing huge video archives. Even when a video archive is known to include critical activities, finding them i...
Yael Pritch, Sarit Ratovitch, Avishai Hendel, Shmu...
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
16 years 2 months ago
Clustering Uncertain Data with Possible Worlds
The topic of managing uncertain data has been explored in many ways. Different methodologies for data storage and query processing have been proposed. As the availability of manag...
Peter Benjamin Volk, Frank Rosenthal, Martin Hahma...
CEC
2009
IEEE
16 years 2 months ago
A clustering multi-objective evolutionary algorithm based on orthogonal and uniform design
Abstract— Designing efficient algorithms for difficult multiobjective optimization problems is a very challenging problem. In this paper a new clustering multi-objective evolut...
Yuping Wang, Chuangyin Dang, Hecheng Li, Lixia Han...
AUSAI
2009
Springer
16 years 2 months ago
Enhancing MML Clustering Using Context Data with Climate Applications
Abstract. In Minimum Message Length (MML) clustering (unsupervised classification, mixture modelling) the aim is to infer a set of classes that best explains the observed data ite...
Gerhard Visser, David L. Dowe, Petteri Uotila