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» Optimizing Learning in Image Retrieval
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NECO
2010
136views more  NECO 2010»
13 years 7 months ago
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
To allow the hidden units of a restricted Boltzmann machine to model the transformation between two successive images, Memisevic and Hinton (2007) introduced three-way multiplicat...
Roland Memisevic, Geoffrey E. Hinton
ICPR
2000
IEEE
14 years 10 months ago
Optimal Color Composition Matching of Images
Color features are among the most important features used in image database retrieval, especially in cases where no additional semantic information is available. Due to its compac...
Jianying Hu, Aleksandra Mojsilovic
PCM
2005
Springer
107views Multimedia» more  PCM 2005»
14 years 2 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
CICLING
2005
Springer
14 years 2 months ago
Learning the Query Generation Patterns
Abstract. With the current method of query formation, a Question Answering system retrieves a set of documents that are similar to a question, while what is mostly required is a se...
Marcin Skowron, Kenji Araki
CORR
2011
Springer
173views Education» more  CORR 2011»
13 years 4 months ago
Probability Based Clustering for Document and User Properties
Information Retrieval systems can be improved by exploiting context information such as user and document features. This article presents a model based on overlapping probabilistic...
Thomas Mandl, Christa Womser-Hacker