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» Using Data Mining to Estimate Missing Sensor Data
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SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
15 years 7 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà
ECCV
2002
Springer
16 years 8 months ago
Visual Data Fusion for Objects Localization by Active Vision
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusi...
François Chaumette, Grégory Flandin
ICIP
2003
IEEE
16 years 7 months ago
A Bayesian framework for recursive object removal in movie post-production
Some of the most convincing film and video effects are created in digital post-production by removing apparatus that supports or manipulates actors and objects. Wires and people, ...
Anil C. Kokaram, Bill Collis, Simon Robinson
BMCBI
2008
120views more  BMCBI 2008»
15 years 6 months ago
Statistical issues in the analysis of Illumina data
Background: Illumina bead-based arrays are becoming increasingly popular due to their high degree of replication and reported high data quality. However, little attention has been...
Mark J. Dunning, Nuno L. Barbosa-Morais, Andy G. L...
ICDM
2006
IEEE
91views Data Mining» more  ICDM 2006»
16 years 6 days ago
Estimation System of People's Freindship and Hierarchical Relationship from Sentence Types
Many people cooperate for creating something new. It is important for the team’s perfomance to build a trusting relationship. It is necessary for building the trusting relations...
Yoko Nishihara, Wataru Sunayama, Masahiko Yachida