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» An active feedback framework for image retrieval
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82
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ECCV
2008
Springer
15 years 11 months ago
Output Regularized Metric Learning with Side Information
Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application ...
Wei Liu, Steven C. H. Hoi, Jianzhuang Liu
84
Voted
VISUAL
2000
Springer
15 years 1 months ago
Statistical Motion-Based Retrieval with Partial Query
We present an original approach for motion-based retrieval involving partial query. More precisely, we propose an uni ed statistical framework both to extract entities of interest ...
Ronan Fablet, Patrick Bouthemy
89
Voted
IEAAIE
2010
Springer
14 years 7 months ago
Psychophysical Evaluation for a Qualitative Semantic Image Categorisation and Retrieval Approach
This paper details the behavioral evaluation of a qualitative image categorisation and retrieval approach using semantic features of images. Content based image retrieval and class...
Zia Ul-Qayyum, A. G. Cohn, Alexander Klippel
IJCAI
2007
14 years 11 months ago
MESH-Based Active Monte Carlo Recognition (MESH-AMCR)
In this paper we extend Active Monte Carlo Recognition (AMCR), a recently proposed framework for object recognition. The approach is based on the analogy between mobile robot loca...
Felix von Hundelshausen, Hans-Joachim Wünsche...
CONTEXT
2007
Springer
15 years 3 months ago
Discovering Hidden Contextual Factors for Implicit Feedback
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Massimo Melucci, Ryen W. White