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MMS
2006
15 years 5 months ago
A probabilistic semantic model for image annotation and multi-modal image retrieval
This paper addresses automatic image annotation problem and its application to multi-modal image retrieval. The contribution of our work is three-fold. (1) We propose a probabilis...
Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, ...
156
Voted
SG
2009
Springer
15 years 11 months ago
Towards the Big Picture: Enriching 3D Models with Information Visualisation and Vice Versa
Abstract. Most information visualisation methods are based on abstract visual representations without any concrete manifestation in the “real world”. However, a variety of abst...
Michael Sedlmair, Kerstin Ruhland, Fabian Hennecke...
CVPR
2009
IEEE
17 years 7 days ago
Learning Semantic Visual Vocabularies Using Diffusion Distance
In this paper, we propose a novel approach for learning generic visual vocabulary. We use diffusion maps to au-tomatically learn a semantic visual vocabulary from ab-undant quantiz...
Jingen Liu (University of Central Florida), Yang Y...
157
Voted
ECTEL
2007
Springer
15 years 11 months ago
Creation of Lithuanian Digital Library of Educational Resources and Services: the Hypothesis, Contemporary Practice, and Future
Currently national digital library of educational resources and services (DLE) for primary and secondary education is under implementation in Lithuania. The article aims to analyse...
Eugenijus Kurilovas, Svetlana Kubilinskiene
ICML
2009
IEEE
16 years 5 months ago
Deep transfer via second-order Markov logic
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
Jesse Davis, Pedro Domingos