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» Visual Data Mining in Large Geospatial Point Sets
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ISBI
2008
IEEE
14 years 10 months ago
Sift-based sequence registration and flow-based cortical vessel segmentation applied to high resolution optical imaging data
Several functional and biomedical imaging techniques rely on determining hemodynamic variables and their changes in large vascular networks. To do so at micro-vascular resolution ...
Ivo Vanzetta, Mickaël Péchaud, Renaud ...
SDM
2004
SIAM
165views Data Mining» more  SDM 2004»
13 years 11 months ago
Visualizing RFM Segmentation
Segmentation based on RFM (Recency, Frequency, and Monetary) has been used for over 50 years by direct marketers to target a subset of their customers, save mailing costs, and imp...
Ron Kohavi, Rajesh Parekh
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
14 years 10 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
DAWAK
2001
Springer
14 years 2 months ago
Towards a Novel OLAP Interface for Distributed Data Warehouses
We present a framework for visualizing remote distributed data sources using a multi-user immersive virtual reality environment. DIVE-ON is a system prototype that consolidates dis...
Ayman Ammoura, Osmar R. Zaïane, Randy Goebel
PAMI
2006
145views more  PAMI 2006»
13 years 9 months ago
Reflectance Sharing: Predicting Appearance from a Sparse Set of Images of a Known Shape
Three-dimensional appearance models consisting of spatially varying reflectance functions defined on a known shape can be used in analysis-by-synthesis approaches to a number of vi...
Todd Zickler, Ravi Ramamoorthi, Sebastian Enrique,...