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» Optimizing Learning in Image Retrieval
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MM
2009
ACM
269views Multimedia» more  MM 2009»
14 years 4 months ago
Semi-supervised topic modeling for image annotation
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hu...
CLEF
2004
Springer
14 years 3 months ago
Content-Based Queries on the CasImage Database Within the IRMA Framework
Abstract. Recent research has suggested that there is no general similarity measure, which can be applied on arbitrary databases without any parameterization. Hence, the optimal co...
Christian Thies, Mark Oliver Güld, Benedikt F...
FTML
2008
185views more  FTML 2008»
13 years 10 months ago
Graphical Models, Exponential Families, and Variational Inference
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
Martin J. Wainwright, Michael I. Jordan
AMR
2007
Springer
171views Multimedia» more  AMR 2007»
14 years 4 months ago
Automatic Image Annotation with Relevance Feedback and Latent Semantic Analysis
The goal of this paper is to study the image-concept relationship as it pertains to image annotation. We demonstrate how automatic annotation of images can be implemented on partia...
Donn Morrison, Stéphane Marchand-Maillet, E...
SIGIR
2012
ACM
12 years 17 days ago
TFMAP: optimizing MAP for top-n context-aware recommendation
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, ...