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» Learning Algorithms for Domain Adaptation
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GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
15 years 8 months ago
Exploring XCS in multiagent environments
This paper investigates the adaptability of XCS in four different multiagent environments. The environments are realized in a simplified soccer game, and they include (1) singlea...
Hiroyasu Inoue, Keiki Takadama, Katsunori Shimohar...
PKDD
2005
Springer
109views Data Mining» more  PKDD 2005»
15 years 8 months ago
An Imbalanced Data Rule Learner
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
Canh Hao Nguyen, Tu Bao Ho
141
Voted
CVPR
2009
IEEE
16 years 9 months ago
Frequency-tuned Salient Region Detection
Detection of visually salient image regions is useful for applications like object segmentation, adaptive compression, and object recognition. In this paper, we introduce a meth...
Radhakrishna Achanta, Sheila S. Hemami, Francisco ...
128
Voted
AAAI
2010
15 years 3 months ago
Exploiting Monotonicity in Interval Constraint Propagation
We propose in this paper a new interval constraint propagation algorithm, called MOnotonic Hull Consistency (Mohc), that exploits monotonicity of functions. The propagation is sta...
Ignacio Araya, Gilles Trombettoni, Bertrand Neveu
IVC
2006
183views more  IVC 2006»
15 years 2 months ago
Augmented tracking with incomplete observation and probabilistic reasoning
An on-line algorithm for multi-object tracking is presented for monitoring a real-world scene from a single fixed camera. Potential objects are detected with adaptive backgrounds ...
Ming Xu, Tim Ellis