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» Approximate data mining in very large relational data
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245
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ICDE
2009
IEEE
176views Database» more  ICDE 2009»
16 years 3 months ago
Discovering Conditional Functional Dependencies
This paper investigates the discovery of conditional functional dependencies (CFDs). CFDs are a recent extension of functional dependencies (FDs) by supporting patterns of semantic...
Wenfei Fan, Floris Geerts, Laks V. S. Lakshmanan, ...
VLDB
2005
ACM
93views Database» more  VLDB 2005»
15 years 7 months ago
Indexing Mixed Types for Approximate Retrieval
In various applications such as data cleansing, being able to retrieve categorical or numerical attributes based on notions of approximate match (e.g., edit distance, numerical di...
Liang Jin, Nick Koudas, Chen Li, Anthony K. H. Tun...
KDD
2008
ACM
116views Data Mining» more  KDD 2008»
16 years 2 months ago
Volatile correlation computation: a checkpoint view
Recent years have witnessed increased interest in computing strongly correlated pairs in very large databases. Most previous studies have been focused on static data sets. However...
Wenjun Zhou, Hui Xiong
PAMI
2010
274views more  PAMI 2010»
14 years 8 months ago
3D Face Recognition Using Isogeodesic Stripes
In this paper, we present a novel approach to 3D face matching that shows high effectiveness in distinguishing facial differences between distinct individuals from differences indu...
Stefano Berretti, Alberto Del Bimbo, Pietro Pala
124
Voted
ICML
2009
IEEE
16 years 2 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...