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INFOVIS
2005
IEEE
15 years 10 months ago
Importance-Driven Visualization Layouts for Large Time Series Data
Time series are an important type of data with applications in virtually every aspect of the real world. Often a large number of time series have to be monitored and analyzed in p...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...
IJCAI
2007
15 years 6 months ago
Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination
A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. It is commonly asserted that in order to ...
Mohan Sridharan, Peter Stone
173
Voted
ML
2000
ACM
154views Machine Learning» more  ML 2000»
15 years 4 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
ICDAR
2011
IEEE
14 years 4 months ago
Three Dimensional Rotation-Free Recognition of Characters
—In this paper, we propose a new method for three dimensional rotation-free recognition of characters in scene. In the proposed method, we employ the Modified Quadratic Discrimi...
Ryo Narita, Wataru Ohyama, Tetsushi Wakabayashi, F...
IPPS
2003
IEEE
15 years 10 months ago
Importance of SIMD Computation Reconsidered
In this paper, SIMD and MIMD solutions for the realtime database management problem of air traffic control are compared. A real-time database system is highly constrained in a mul...
Will C. Meilander, Johnnie W. Baker, Mingxian Jin