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PAKDD
2007
ACM
183views Data Mining» more  PAKDD 2007»
16 years 25 days ago
Translation and Rotation Invariant Mining of Frequent Trajectories: Application to Protein Unfolding Pathways
We present a framework for mining frequent trajectories, which are translated and/or rotated with respect to one another. We then discuss a multiresolution methodology, based on th...
Alexander Andreopoulos, Bill Andreopoulos, Aijun A...
PAKDD
2005
ACM
103views Data Mining» more  PAKDD 2005»
16 years 6 days ago
Subgroup Discovery Techniques and Applications
This paper presents the advances in subgroup discovery and the ways to use subgroup discovery to generate actionable knowledge for decision support. Actionable knowledge is explici...
Nada Lavrac
ERLANG
2003
ACM
15 years 12 months ago
Automated test generation for industrial Erlang applications
We present an implemented technique for generating test cases from state machine specifications. The work is motivated by a need for testing of protocols and services developed b...
Johan Blom, Bengt Jonsson
PKDD
2000
Springer
108views Data Mining» more  PKDD 2000»
15 years 10 months ago
Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control
This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy M...
Christophe Druet, Damien Ernst, Louis Wehenkel
MVA
2007
129views Computer Vision» more  MVA 2007»
15 years 8 months ago
Multi Human Trajectory Estimation Using Stochastic Sampling and Its Application to Meeting Recognition
In this paper we present a stochastic sampling approach to estimate multiple human trajectory in the meeting. The algorithm is formalized as a energy minimization problem based on...
Yosuke Matsusaka, Hideki Asoh, Futoshi Asano