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» An objective approach to cluster validation
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ICCV
2005
IEEE
15 years 12 months ago
Local Features for Object Class Recognition
In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
CVPR
2012
IEEE
13 years 12 days ago
Adaptive object tracking by learning background context
One challenge when tracking objects is to adapt the object representation depending on the scene context to account for changes in illumination, coloring, scaling, etc. Here, we p...
Ali Borji, Simone Frintrop, Dicky N. Sihite, Laure...
WAIM
2001
Springer
15 years 2 months ago
Three-Tier Clustering: An Online Citation Clustering System
In this paper, we present an online citation entry clustering system based on three-tier clustering. The objective is to further process search results returned by bibliography dat...
Haifeng Jiang, Wenwu Lou, Wei Wang 0011
CVPR
2007
IEEE
16 years 6 hour ago
Accurate Object Localization with Shape Masks
This paper proposes an approach for object class localization which goes beyond bounding boxes, as it also determines the outline of the object. Unlike most current localization m...
Marcin Marszalek, Cordelia Schmid
CIARP
2004
Springer
15 years 3 months ago
Parallel Algorithm for Extended Star Clustering
In this paper we present a new parallel clustering algorithm based on the extended star clustering method. This algorithm can be used for example to cluster massive data sets of do...
Reynaldo Gil-García, José Manuel Bad...