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113
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GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
15 years 9 months ago
Learning and exploiting knowledge in multi-agent task allocation problems
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
Adam Campbell, Annie S. Wu
140
Voted
EWCBR
2004
Springer
15 years 9 months ago
Knowledge-Intensive Case-Based Reasoning in CREEK
Knowledge-intensive CBR assumes that cases are enriched with general domain knowledge. In CREEK, there is a very strong coupling between cases and general domain knowledge, in that...
Agnar Aamodt
107
Voted
ICPR
2006
IEEE
16 years 4 months ago
Browsing graphics without prior knowledge
In this paper, we present a system to browse a set of graphical documents without prior knowledge of their content. This system relies on a new structural method locating regions ...
Daniel Zuwala, Jan Rendek
140
Voted
SIAMIS
2010
147views more  SIAMIS 2010»
15 years 1 months ago
Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models
In image processing, the Rudin-Osher-Fatemi (ROF) model [L. Rudin, S. Osher, and E. Fatemi, Physica D, 60(1992), pp. 259–268] based on total variation (TV) minimization has prove...
Chunlin Wu, Xue-Cheng Tai
132
Voted
CBMS
2006
IEEE
15 years 9 months ago
A Query-Based Medical Information Summarization System Using Ontology Knowledge
As huge amounts of knowledge are created rapidly, effective information access becomes an important issue. Especially for critical domains, such as medical and financial areas, e...
Ping Chen, Rakesh M. Verma