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IDA
2008
Springer
13 years 8 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
ICMI
2009
Springer
188views Biometrics» more  ICMI 2009»
13 years 6 months ago
Detecting user engagement with a robot companion using task and social interaction-based features
Affect sensitivity is of the utmost importance for a robot companion to be able to display socially intelligent behaviour, a key requirement for sustaining long-term interactions ...
Ginevra Castellano, André Pereira, Iolanda ...
ICRA
2000
IEEE
112views Robotics» more  ICRA 2000»
14 years 21 days ago
Visual Tracking with Subpixel Resolution using an Analog VLSI Computational Sensor
This paper describes the application of a computational vision sensor to active binocular tracking. The sensor outputs are used to control the vergence angles of the two cameras a...
Ziyi Lu, Bertram Emil Shi
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
14 years 8 months ago
Ordering patterns by combining opinions from multiple sources
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
Pang-Ning Tan, Rong Jin
CIKM
2005
Springer
14 years 1 months ago
A novel refinement approach for text categorization
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
Songbo Tan, Xueqi Cheng, Moustafa Ghanem, Bin Wang...