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CLEF
2008
Springer
13 years 12 months ago
Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval
In this article, we focus our efforts (i) on the study of how to automatically extract and exploit visual concepts and (ii) on fast visual diversity. First, in the Visual Concept D...
Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tab...
AOSD
2009
ACM
13 years 8 months ago
Concept analysis for product line requirements
Traditional methods characterize a software product line's requirements using either functional or quality criteria. This appears to be inadequate to assess modularity, detec...
Nan Niu, Steve M. Easterbrook
ICMCS
2007
IEEE
155views Multimedia» more  ICMCS 2007»
14 years 4 months ago
Hidden Maximum Entropy Approach for Visual Concept Modeling
Recently, the bag-of-words approach has been successfully applied to automatic image annotation, object recognition, etc. The method needs to first quantize an image using the vis...
Sheng Gao, Joo-Hwee Lim, Qibin Sun
MM
2004
ACM
219views Multimedia» more  MM 2004»
14 years 3 months ago
Multi-level annotation of natural scenes using dominant image components and semantic concepts
Automatic image annotation is a promising solution to enable semantic image retrieval via keywords. In this paper, we propose a multi-level approach to annotate the semantics of n...
Jianping Fan, Yuli Gao, Hangzai Luo
CIKM
2008
Springer
14 years 4 days ago
Combining concept hierarchies and statistical topic models
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyv...