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» Using Data Mining to Estimate Missing Sensor Data
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ICRA
2003
IEEE
139views Robotics» more  ICRA 2003»
15 years 11 months ago
Mobile robot localization with an incomplete map in non-stationary environments
— One of the fundamental problems of the mobile robots is self-localization, i.e. to estimate the self-position by comparing sensor data and a map. In non-stationary environments...
Kanji Tanaka, Tsutomu Hasegawa, Hongbin Zha, Eiji ...
ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
15 years 10 months ago
Sequential Change Detection on Data Streams
Model-based declarative queries are becoming an attractive paradigm for interacting with many data stream applications. This has led to the development of techniques to accurately...
S. Muthukrishnan, Eric van den Berg, Yihua Wu
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
16 years 11 days ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
PAKDD
2005
ACM
132views Data Mining» more  PAKDD 2005»
15 years 11 months ago
SETRED: Self-training with Editing
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
Ming Li, Zhi-Hua Zhou
GLVLSI
2008
IEEE
183views VLSI» more  GLVLSI 2008»
15 years 7 months ago
An analytical model for the upper bound on temperature differences on a chip
The main contribution of this work is an analytical model for finding the upper bound on the temperature difference among various locations on the die. The proposed model can be u...
Shervin Sharifi, Tajana Simunic Rosing