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» Minimal solutions for generic imaging models
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ICDM
2007
IEEE
106views Data Mining» more  ICDM 2007»
14 years 2 months ago
High-Speed Function Approximation
We address a new learning problem where the goal is to build a predictive model that minimizes prediction time (the time taken to make a prediction) subject to a constraint on mod...
Biswanath Panda, Mirek Riedewald, Johannes Gehrke,...
CVPR
2008
IEEE
13 years 9 months ago
Off-axis aperture camera: 3D shape reconstruction and image restoration
In this paper we present a novel 3D surface and image reconstruction method based on the off-axis aperture camera. The key idea is to change the size or the 3-D location of the ap...
Qingxu Dou, Paolo Favaro

Publication
433views
14 years 4 months ago
Optimal Feature Selection for Subspace Image Matching
Image matching has been a central research topic in computer vision over the last decades. Typical approaches for correspondence involve matching features between images. In this p...
Gemma Roig, Xavier Boix, Fernando De la Torre
ICASSP
2008
IEEE
14 years 2 months ago
Wavelet-domain compressive signal reconstruction using a Hidden Markov Tree model
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
Marco F. Duarte, Michael B. Wakin, Richard G. Bara...
TSMC
2002
102views more  TSMC 2002»
13 years 7 months ago
Modeling and analysis of air campaign resource allocation: a spatio-temporal decomposition approach
In this paper, we address the modeling and analysis issues associated with a generic theater level campaign where two adversaries pit their military resources against each other ov...
Debasish Ghose, M. Krichman, Jason L. Speyer, Jeff...