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AIPS
2009
14 years 10 months ago
Exploiting N-Gram Analysis to Predict Operator Sequences
N-gram analysis provides a means of probabilistically predicting the next item in a sequence. Due originally to Shannon, it has proven an effective technique for word prediction i...
Christian J. Muise, Sheila A. McIlraith, Jorge A. ...
JCIT
2008
131views more  JCIT 2008»
14 years 9 months ago
Intelligent Tutoring System: Predicting Students Results Using Neural Networks
In this paper we propose methods to utilize Artificial Neural Networks to obtain knowledge for the management of educational resources. The final evaluations provide us a model th...
E. R. Naganathan, R. Venkatesh, N. Uma Maheswari
ICRA
2007
IEEE
142views Robotics» more  ICRA 2007»
15 years 4 months ago
Hybrid Model Predictive Control for Stabilization of Wheeled Mobile Robots Subject to Wheel Slippage
— This paper studies the problem of stabilizing wheeled mobile robots (WMRs) subject to wheel slippage to a predefined set. When slippage of the wheels can occur, WMRs can be mo...
Shangming Wei, Milos Zefran, Kasemsak Uthaichana, ...
ICPR
2002
IEEE
15 years 2 months ago
Generalized Pattern Spectra Sensitive to Spatial Information
Morphological pattern spectra computed from granulometries are frequently used to classify the size classes of details in textures and images. An extension of this technique, whic...
Michael H. F. Wilkinson
91
Voted
ICIP
2002
IEEE
15 years 11 months ago
High efficient sprite coding with directional spatial prediction
Sprite is an efficient and concise method for representation of background video object, which is typically compressed with the MPEG-4 object-based coding technique. Due to the pr...
Yan Lu, Wen Gao, Feng Wu