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MIR
2005
ACM
140views Multimedia» more  MIR 2005»
15 years 3 months ago
Multiple random walk and its application in content-based image retrieval
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying M...
ICCBR
2001
Springer
15 years 2 months ago
Meta-case-Based Reasoning: Using Functional Models to Adapt Case-Based Agents
It is useful for an intelligent software agent to be able to adapt to new demands from an environment. Such adaptation can be viewed as a redesign problem; an agent has some origin...
J. William Murdock, Ashok K. Goel
96
Voted
CIKM
2011
Springer
13 years 9 months ago
Towards a framework for attribute retrieval
In this paper, we propose an attribute retrieval approach which extracts and ranks attributes from HTML tables. We distinguish between class attribute retrieval and instance attri...
Arlind Kopliku, Mohand Boughanem, Karen Pinel-Sauv...
FSS
2008
110views more  FSS 2008»
14 years 9 months ago
Learning valued preference structures for solving classification problems
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
Eyke Hüllermeier, Klaus Brinker
ECIR
2009
Springer
15 years 6 months ago
Investigating Learning Approaches for Blog Post Opinion Retrieval
Blog post opinion retrieval is the problem of identifying posts which express an opinion about a particular topic. Usually the problem is solved using a 3 step process in which rel...
Shima Gerani, Mark James Carman, Fabio Crestani