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» Mining Multiple Large Databases
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PR
2008
146views more  PR 2008»
15 years 1 months ago
Integration of local and global geometrical cues for 3D face recognition
We present a unified feature representation of 2.5D pointclouds and apply it to face recognition. The representation integrates local and global geometrical cues in a single compa...
Faisal R. Al-Osaimi, Mohammed Bennamoun, Ajmal S. ...
SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
16 years 1 months ago
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies
The rich dependency structure found in the columns of real-world relational databases can be exploited to great advantage, but can also cause query optimizers--which usually assum...
Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul B...
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
16 years 1 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
110
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EDBT
2010
ACM
135views Database» more  EDBT 2010»
15 years 8 months ago
Region-based online promotion analysis
This paper addresses a fundamental and challenging problem with broad applications: efficient processing of region-based promotion queries, i.e., to discover the top-k most inter...
Tianyi Wu, Yizhou Sun, Cuiping Li, Jiawei Han
SIGMOD
2010
ACM
236views Database» more  SIGMOD 2010»
15 years 6 months ago
Differentially private aggregation of distributed time-series with transformation and encryption
We propose PASTE, the first differentially private aggregation algorithms for distributed time-series data that offer good practical utility without any trusted server. PASTE add...
Vibhor Rastogi, Suman Nath