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SIAMIS
2011
13 years 2 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
VLDB
2008
ACM
170views Database» more  VLDB 2008»
14 years 8 months ago
A multi-ranker model for adaptive XML searching
The evolution of computing technology suggests that it has become more feasible to offer access to Web information in a ubiquitous way, through various kinds of interaction device...
Ho Lam Lau, Wilfred Ng
ICIP
2005
IEEE
14 years 9 months ago
Image denoising in nonlinear scale-spaces: automatic scale selection via cross-validation
Multiscale, i.e. scale-space image analysis is a powerful framework for many image processing tasks. A fundamental issue with such scale-space techniques is the automatic selectio...
George Papandreou, Petros Maragos
CAISE
2004
Springer
14 years 1 months ago
Enabling Personalized Composition and Adaptive Provisioning of Web Services
Abstract. The proliferation of interconnected computing devices is fostering the emergence of environments where Web services made available to mobile users are a commodity. Unfort...
Quan Z. Sheng, Boualem Benatallah, Zakaria Maamar,...
CIVR
2007
Springer
173views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Fast and cheap object recognition by linear combination of views
In this paper, we present a real-time algorithm for 3D object detection in images. Our method relies on the Ullman and Basri [13] theory which claims that the same object under di...
Jérome Revaud, Guillaume Lavoué, Yas...