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HICSS
2003
IEEE
171views Biometrics» more  HICSS 2003»
14 years 1 months ago
Improving the Efficiency of Interactive Sequential Pattern Mining by Incremental Pattern Discovery
The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...
Ming-Yen Lin, Suh-Yin Lee
ATAL
2007
Springer
14 years 2 months ago
Towards using multiple cues for robust object recognition
A robot’s ability to assist humans in a variety of tasks, e.g. in search and rescue or in a household, heavily depends on the robot’s reliable recognition of the objects in th...
Sarah Aboutalib, Manuela M. Veloso
BMCBI
2010
118views more  BMCBI 2010»
13 years 8 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
PTS
2007
120views Hardware» more  PTS 2007»
13 years 10 months ago
Towards Systematic Signature Testing
: The success and the acceptance of intrusion detection systems essentially depend on the accuracy of their analysis. Inaccurate signatures strongly trigger false alarms. In practi...
Sebastian Schmerl, Hartmut König
AAAI
2010
13 years 8 months ago
Biped Walk Learning Through Playback and Corrective Demonstration
Developing a robust, flexible, closed-loop walking algorithm for a humanoid robot is a challenging task due to the complex dynamics of the general biped walk. Common analytical ap...
Çetin Meriçli, Manuela M. Veloso