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ICANN
2010
Springer
15 years 4 months ago
Unsupervised Learning of Relations
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
Matthew Cook, Florian Jug, Christoph Krautz, Angel...
ICARCV
2006
IEEE
126views Robotics» more  ICARCV 2006»
15 years 9 months ago
Improvement to the Minimization of Hybrid Error Functions for Pose Alignment
— Many problems in computer vision such as pose recovery and structure estimation are formulated as a minimization process. These problems vary in the use of image measurements d...
A. H. Abdul Hafez, C. V. Jawahar
141
Voted
FLAIRS
2004
15 years 5 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
137
Voted
PAKDD
2010
ACM
171views Data Mining» more  PAKDD 2010»
15 years 2 months ago
Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach
With the rapid development of information technology, many applications have to deal with potentially infinite data streams. In such a dynamic context, storing the whole data stre...
Yoann Pitarch, Anne Laurent, Pascal Poncelet
WORDS
2005
IEEE
15 years 9 months ago
Progressive Ranking and Composition of Web Services Using Covering Arrays
Major computer companies and government agencies are adopting Web Services (WS) technology. Web services must ensure interoperability and security, and be reliable and trustworthy...
Charles J. Colbourn, Yinong Chen, Wei-Tek Tsai