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» Learning Object Representations Using Sequential Patterns
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IJCAI
1997
13 years 9 months ago
Machine Learning Techniques to Make Computers Easier to Use
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
Hiroshi Motoda, Kenichi Yoshida
IWPC
1998
IEEE
13 years 12 months ago
Pattern Visualization for Software Comprehension
Cognitive science emphasizes the strength of visual formalisms for human learning and problem solving. In software engineering, a clear, visual presentation of a system's arc...
Reinhard Schauer, Rudolf K. Keller
ICCV
2007
IEEE
14 years 9 months ago
A Scene Representation Based on Multi-Modal 2D and 3D Features
Visually extracted 2D and 3D information have their own advantages and disadvantages that complement each other. Therefore, it is important to be able to switch between the differ...
Emre Baseski, Nicolas Pugeault, Sinan Kalkan, Dirk...
ECML
2007
Springer
13 years 11 months ago
Efficient Computation of Recursive Principal Component Analysis for Structured Input
Recently, a successful extension of Principal Component Analysis for structured input, such as sequences, trees, and graphs, has been proposed. This allows the embedding of discret...
Alessandro Sperduti
ICRA
2006
IEEE
110views Robotics» more  ICRA 2006»
14 years 1 months ago
Transfer of Learning for Complex Task Domains: a Demonstration using Multiple Robots
— This paper demonstrates a learning mechanism for complex tasks. Such tasks may be inherently expensive to learn in terms of training time and/or cost of obtaining each training...
Sameer Singh, Julie A. Adams