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» User Adaptive Clustering for Large Image Databases
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DEXA
2009
Springer
175views Database» more  DEXA 2009»
15 years 4 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
ECCV
2004
Springer
15 years 11 months ago
Image Clustering with Metric, Local Linear Structure, and Affine Symmetry
Abstract. This paper addresses the problem of clustering images of objects seen from different viewpoints. That is, given an unlabelled set of images of n objects, we seek an unsup...
Jongwoo Lim, Jeffrey Ho, Ming-Hsuan Yang, Kuang-Ch...
CVPR
1997
IEEE
15 years 1 months ago
FOCUS: Searching for Multi-colored Objects in a Diverse Image Database
We describe a new multi-phase, color-based image retrieval system, FOCUS Fast Object Color-based qUery System, with an online user interface which is capable of identifying mult...
Madirakshi Das, Edward M. Riseman, Bruce A. Draper
3DPVT
2002
IEEE
172views Visualization» more  3DPVT 2002»
15 years 2 months ago
3D objects visualization for remote interactive medical applications
3D medical images produced in health centers represent tremendous amounts of data spread over different places. Automatic processing of these data often allow quantitative and rep...
Johan Montagnat, Eduardo Davila, Isabelle E. Magni...
CGF
2010
171views more  CGF 2010»
14 years 6 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu