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» Closed Sets for Labeled Data
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ICMCS
2006
IEEE
141views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Coarse-to-Fine Pedestrian Localization and Silhouette Extraction for the Gait Challenge Data Sets
This paper presents a localized coarse-to-fine algorithm for efficient and accurate pedestrian localization and silhouette extraction for the Gait Challenge data sets. The coars...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
KDD
2002
ACM
146views Data Mining» more  KDD 2002»
14 years 5 months ago
Closed Set Mining of Biological Data
We present a closed set data mining paradigm which is particularly e ective for uncovering the kind of deterministic, causal dependencies that characterize much of basic science. ...
John L. Pfaltz, Christopher M. Taylor
FIMI
2003
136views Data Mining» more  FIMI 2003»
13 years 6 months ago
Intersecting data to closed sets with constraints
We describe a method for computing closed sets with data-dependent constraints. Especially, we show how the method can be adapted to find frequent closed sets in a given data set...
Taneli Mielikäinen
IJCAI
2007
13 years 6 months ago
On Mining Closed Sets in Multi-Relational Data
We investigate the problem of mining closed sets in multi-relational databases. Previous work introduced different semantics and associated algorithms for mining closed sets in mu...
Gemma C. Garriga, Roni Khardon, Luc De Raedt
ICPR
2006
IEEE
14 years 6 months ago
Learning Wormholes for Sparsely Labelled Clustering
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
Eng-Jon Ong, Richard Bowden