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» An Inference Network Approach to Image Retrieval
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PR
2011
14 years 13 days ago
Content-based image retrieval with relevance feedback using random walks
In this paper we propose a novel approach to content-based image retrieval with relevance feedback, which is based on the random walker algorithm introduced in the context of inte...
Samuel Rota Bulò, Massimo Rabbi, Marcello P...
ICMCS
2006
IEEE
155views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Region-Based Image Retrieval using Radial Basis Function Network
This paper presents a new framework that integrates relevance feedback into region-based image retrieval (RBIR) systems based on radial basis function network (RBFN). A modified u...
Kui Wu, Kim-Hui Yap, Lap-Pui Chau
BMEI
2008
IEEE
15 years 4 months ago
Using Phylogenetic Relationships to Improve the Inference of Transcriptional Regulatory Networks
Inferring transcriptional regulatory networks from geneexpression data remains a challenging problem, in part because of the noisy nature of the data and the lack of strong networ...
Xiuwei Zhang, Maryam Zaheri, Bernard M. E. Moret
ICANN
2009
Springer
15 years 4 months ago
Modelling Image Complexity by Independent Component Analysis, with Application to Content-Based Image Retrieval
Abstract. Estimating the degree of similarity between images is a challenging task as the similarity always depends on the context. Because of this context dependency, it seems qui...
Jukka Perkiö, Aapo Hyvärinen
77
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ICMCS
2005
IEEE
184views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Fuzzy relevance feedback in content-based image retrieval systems using radial basis function network
This paper presents a new framework called fuzzy relevance feedback in interactive content-based image retrieval (CBIR) systems based on soft-decision. An efficient learning appro...
Kim-Hui Yap, Kui Wu