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FLAIRS
2004
13 years 10 months ago
State Space Reduction For Hierarchical Reinforcement Learning
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
Mehran Asadi, Manfred Huber
CMG
2001
13 years 10 months ago
Software That Can Think and Do
Rapid advances in research and technology now allow data analysis and modeling of extremely complex systems. Methods from artificial intelligence (AI) such as Neural Networks have...
Bernard Domanski
IMAGING
2004
13 years 10 months ago
Optimal Linear RGB-to-XYZ Mapping for Color Display Calibration
Color display calibration, in part, involves mapping input RGB values to corresponding output values in a standardized color space such as CIE XYZ. A linear model for RGB-to-XYZ m...
Behnam Bastani, Roozbeh Ghaffari, Brian V. Funt
ICISC
2001
162views Cryptology» more  ICISC 2001»
13 years 10 months ago
Content Extraction Signatures
Motivated by emerging needs in online interactions, we define a new type of digital signature called a `Content Extraction Signature' (CES). A CES allows the owner, Bob, of a...
Ron Steinfeld, Laurence Bull, Yuliang Zheng
MSV
2004
13 years 10 months ago
MABAC - Matrix Based Clustering Algorithm
Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
Yonghui Chen, Alan P. Sprague, Kevin D. Reilly