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133
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KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 3 months ago
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Alexandrin Popescul, Lyle H. Ungar
122
Voted
MM
2006
ACM
152views Multimedia» more  MM 2006»
15 years 9 months ago
Multimodal fusion using learned text concepts for image categorization
Conventional image categorization techniques primarily rely on low-level visual cues. In this paper, we describe a multimodal fusion scheme which improves the image classification...
Qiang Zhu, Mei-Chen Yeh, Kwang-Ting Cheng
141
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PCM
2005
Springer
107views Multimedia» more  PCM 2005»
15 years 9 months ago
Salient Feature Selection for Visual Concept Learning
Abstract. Image classification could be treated as an effective solution to enable keyword-based semantic image retrieval. In this paper, we propose a novel image classification...
Feng Xu, Lei Zhang, Yu-Jin Zhang, Wei-Ying Ma
149
Voted
EKAW
2010
Springer
15 years 2 months ago
Ontology Engineering with Rough Concepts and Instances
A scenario in ontology development and its use is hypothesis testing, such as finding new subconcepts based on the data linked to the ontology. During such experimentation, knowle...
C. Maria Keet
137
Voted
DLOG
2010
15 years 1 months ago
On the feasibility of Description Logic knowledge bases with rough concepts and vague instances
Abstract. A usage scenario of bio-ontologies is hypothesis testing, such as finding relationships or new subconcepts in the data linked to the ontology. Whilst validating the hypot...
C. Maria Keet