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ECCV
2006
Springer
16 years 8 months ago
The Alignment Between 3-D Data and Articulated Shapes with Bending Surfaces
In this paper we address the problem of aligning 3-D data with articulated shapes. This problem resides at the core of many motion tracking methods with applications in human motio...
Guillaume Dewaele, Frederic Devernay, Radu Horaud,...
ICDM
2005
IEEE
153views Data Mining» more  ICDM 2005»
16 years 6 days ago
Speculative Markov Blanket Discovery for Optimal Feature Selection
In this paper we address the problem of learning the Markov blanket of a quantity from data in an efficient manner. Markov blanket discovery can be used in the feature selection ...
Sandeep Yaramakala, Dimitris Margaritis
KDD
1998
ACM
99views Data Mining» more  KDD 1998»
15 years 10 months ago
Learning to Predict the Duration of an Automobile Trip
In this paper, weexplore the use of machinelearning and data mining to improvethe prediction of travel times in an automobile. Weconsider two formulations of this problem, one tha...
Simon Handley, Pat Langley, Folke A. Rauscher
HAIS
2009
Springer
15 years 10 months ago
Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness
Abstract. Data Mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binaryvalued transactions, however the d...
Nicolò Flugy Papè, Jesús Alca...
SAC
2008
ACM
15 years 6 months ago
Mining fault-tolerant frequent patterns efficiently with powerful pruning
The mining of frequent patterns in databases has been studied for several years. However, the real-world data tends to be dirty and frequent pattern mining which extracts patterns...
Jhih-Jie Zeng, Guanling Lee, Chung-Chi Lee