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» Embedding Heterogeneous Data Using Statistical Models
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NIPS
1994
15 years 1 months ago
Active Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...
132
Voted
ICIP
1999
IEEE
16 years 2 months ago
Quadtrees for Embedded Surface Visualization: Constraints and Efficient Data Structures
The quadtree data structure is widely used in digital image processing and computer graphics for modeling spatial segmentation of images and surfaces. A quadtree is a tree in whic...
Laurent Balmelli, Jelena Kovacevic, Martin Vetterl...
112
Voted
DS
1997
117views Database» more  DS 1997»
15 years 1 months ago
Experience with a Combined Approach to Attribute-Matching Across Heterogeneous Databases
Determining attribute correspondences is a difficult, time-consuming, knowledge-intensive part of database integration. We report on experiences with tools that identified candi...
Chris Clifton, E. Housman, Arnon Rosenthal
96
Voted
SC
2005
ACM
15 years 6 months ago
The MHETA Execution Model for Heterogeneous Clusters
The availability of inexpensive “off the shelf” machines increases the likelihood that parallel programs run on heterogeneous clusters of machines. These programs are increasi...
Mario Nakazawa, David K. Lowenthal, Wenduo Zhou
111
Voted
SIGMOD
2004
ACM
110views Database» more  SIGMOD 2004»
15 years 5 months ago
Liquid Data for WebLogic: Integrating Enterprise Data and Services
Information in today’s enterprises commonly resides in a variety of heterogeneous data sources, including relational databases, web services, files, packaged applications, and c...
Vinayak R. Borkar