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ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
15 years 6 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov
CVPR
2006
IEEE
16 years 1 months ago
Model Order Selection and Cue Combination for Image Segmentation
Model order selection and cue combination are both difficult open problems in the area of clustering. In this work we build upon stability-based approaches to develop a new method...
Andrew Rabinovich, Serge Belongie, Tilman Lange, J...
SLSFS
2005
Springer
15 years 5 months ago
Constructing Visual Models with a Latent Space Approach
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
Florent Monay, Pedro Quelhas, Daniel Gatica-Perez,...
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ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
15 years 6 months ago
Non-redundant Multi-view Clustering via Orthogonalization
Typical clustering algorithms output a single clustering of the data. However, in real world applications, data can often be interpreted in many different ways; data can have diff...
Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy
JMLR
2011
167views more  JMLR 2011»
14 years 6 months ago
Logistic Stick-Breaking Process
A logistic stick-breaking process (LSBP) is proposed for non-parametric clustering of general spatially- or temporally-dependent data, imposing the belief that proximate data are ...
Lu Ren, Lan Du, Lawrence Carin, David B. Dunson