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ICPR
2008
IEEE
14 years 9 months ago
Visual features with semantic combination using Bayesian network for a more effective image retrieval
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Sabine Barrat, Salvatore Tabbone
ICPR
2000
IEEE
14 years 9 months ago
Extraction of Relevant Information from Document Images Using Measures of Visual Attention
This paper describes an approach to attention based layout segmentation using general principles of the human visual perception to achieve this goal. The text is considered as tex...
Gerd Maderlechner, Angela Schreyer, Peter Suda
KI
2008
Springer
13 years 6 months ago
Simplest Scenario for Mutual Nested Modeling in Human-Machine-Interaction
The research aim of this paper is to represent everydaylife patterns of thought like "Because I know, what you think I think ..." by a process on a machine, which is inv...
Rustam Tagiew
ICPR
2004
IEEE
14 years 9 months ago
Relevant Linear Feature Extraction Using Side-information and Unlabeled Data
"Learning with side-information" is attracting more and more attention in machine learning problems. In this paper, we propose a general iterative framework for relevant...
Changshui Zhang, Fei Wu, Yonglei Zhou
CG
1998
Springer
14 years 7 days ago
Relevance Cuts: Localizing the Search
Humans can e ectively navigate through large search spaces, enabling them to solve problems with daunting complexity. This is largely due to an ability to successfully distinguish ...
Andreas Junghanns, Jonathan Schaeffer