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» Approximate algorithms for neural-Bayesian approaches
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CVPR
2004
IEEE
15 years 12 months ago
A Variational Approach to Scene Reconstruction and Image Segmentation from Motion-Blur Cues
In this paper we are interested in the joint reconstruction of geometry and photometry of scenes with multiple moving objects from a collection of motion-blurred images. We make s...
Paolo Favaro, Stefano Soatto
ISBI
2004
IEEE
15 years 10 months ago
EEG Cortical Imaging: A Vector Field Approach for Laplacian Denoising and Missing Data Estimation
The surface Laplacian is known to be a theoretical reliable approximation of the cortical activity. Unfortunately, because of its high pass character and the relative low density ...
Teodor Alecu, Sviatoslav Voloshynovskiy, Thierry P...
LCN
2008
IEEE
15 years 4 months ago
Efficient power management for Wireless Sensor Networks: A data-driven approach
—Providing energy-efficient continuous data collection services is of paramount importance to Wireless Sensor Network (WSN) applications. This paper proposes a new power manageme...
MingJian Tang, Jinli Cao, Xiaohua Jia
CORR
2010
Springer
80views Education» more  CORR 2010»
14 years 10 months ago
Many-to-Many Graph Matching: a Continuous Relaxation Approach
Graphs provide an efficient tool for object representation in various computer vision applications. Once graph-based representations are constructed, an important question is how ...
Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Ve...
EMNLP
2006
14 years 11 months ago
Loss Minimization in Parse Reranking
We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approac...
Ivan Titov, James Henderson