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» On Feature Selection through Clustering
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ICCBR
2005
Springer
14 years 1 months ago
A Knowledge-Intensive Method for Conversational CBR
In conversational case-based reasoning (CCBR), a main problem is how to select the most discriminative questions and display them to users in a natural way to alleviate users’ co...
Mingyang Gu, Agnar Aamodt
IROS
2006
IEEE
119views Robotics» more  IROS 2006»
14 years 1 months ago
Learning Similar Tasks From Observation and Practice
— This paper presents a case study of learning to select behavioral primitives and generate subgoals from observation and practice. Our approach uses local features to generalize...
Darrin C. Bentivegna, Christopher G. Atkeson, Gord...
CLUSTER
2006
IEEE
14 years 1 months ago
Open MPI: A High-Performance, Heterogeneous MPI
The growth in the number of generally available, distributed, heterogeneous computing systems places increasing importance on the development of user-friendly tools that enable ap...
Richard L. Graham, Galen M. Shipman, Brian Barrett...
PKDD
2001
Springer
185views Data Mining» more  PKDD 2001»
14 years 7 days ago
Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB
Feature extraction and knowledge discovery from a large amount of image data such as remote sensing images have become highly required recent years. In this study, a framework for ...
Rie Honda, Osamu Konishi
SAMT
2007
Springer
117views Multimedia» more  SAMT 2007»
14 years 1 months ago
A Region Thesaurus Approach for High-Level Concept Detection in the Natural Disaster Domain
Abstract. This paper presents an approach on high-level feature detection using a region thesaurus. MPEG-7 features are locally extracted from segmented regions and for a large set...
Evaggelos Spyrou, Yannis S. Avrithis