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SIAMIS
2011
14 years 6 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
CVPR
2009
IEEE
15 years 6 months ago
On compositional Image Alignment, with an application to Active Appearance Models
Efficient and accurate fitting of Active Appearance Models (AAM) is a key requirement for many applications. The most efficient fitting algorithm today is Inverse Compositiona...
Brian Amberg, Andrew Blake, Thomas Vetter
TAMC
2009
Springer
15 years 4 months ago
On the Complexity of the Multiple Stack TSP, kSTSP
Given a universal constant k, the multiple Stack Travelling Salesman Problem (kSTSP in short) consists in finding a pickup tour T1 and a delivery tour T2 of n items on two distinc...
Sophie Toulouse, Roberto Wolfler Calvo
SDM
2012
SIAM
245views Data Mining» more  SDM 2012»
13 years 2 months ago
Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study
Low-rank approximations which are computed from selected rows and columns of a given data matrix have attracted considerable attention lately. They have been proposed as an altern...
Christian Thurau, Kristian Kersting, Christian Bau...
CVPR
2001
IEEE
16 years 1 months ago
Fast Focal Length Solution in Partial Panoramic Image Stitching
Accurate estimation of effective camera focal length is crucial to the success of panoramic image stitching. Fast techniques for estimating the focal length exist, but are depende...
Kirk L. Duffin, William A. Barrett