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122
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IROS
2006
IEEE
247views Robotics» more  IROS 2006»
15 years 6 months ago
Towards Open-Ended 3D Rotation and Shift Invariant Object Detection for Robot Companions
- Robot companions need to be able to constantly acquire knowledge about new objects for instance in order to detect them in the environment. This ability is necessary since it is ...
Jens Kubacki, Winfried Baum
104
Voted
ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
15 years 6 months ago
Stability of Feature Selection Algorithms
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
144
Voted
SC
2005
ACM
15 years 6 months ago
Intelligent Feature Extraction and Tracking for Visualizing Large-Scale 4D Flow Simulations
Terascale simulations produce data that is vast in spatial, temporal, and variable domains, creating a formidable challenge for subsequent analysis. Feature extraction as a data r...
Fan-Yin Tzeng, Kwan-Liu Ma
AIED
2005
Springer
15 years 6 months ago
Technology at work to mediate collaborative scientific enquiry in the field
This paper describes and contrasts findings from two related projects where groups of science pupils investigated local air pollution using a collection of mobile sensors and devic...
Hilary Smith, Rosemary Luckin, Geraldine Fitzpatri...
105
Voted
ISLPED
2004
ACM
108views Hardware» more  ISLPED 2004»
15 years 6 months ago
SEPAS: a highly accurate energy-efficient branch predictor
Designers have invested much effort in developing accurate branch predictors with short learning periods. Such techniques rely on exploiting complex and relatively large structure...
Amirali Baniasadi, Andreas Moshovos