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ECCV
2010
Springer
14 years 11 months ago
Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision
The saddle point framework provides a convenient way to formulate many convex variational problems that occur in computer vision. The framework unifies a broad range of data and re...
Jan Lellmann, Dirk Breitenreicher, Christoph Schn&...
ICML
2010
IEEE
14 years 10 months ago
A Theoretical Analysis of Feature Pooling in Visual Recognition
Many modern visual recognition algorithms incorporate a step of spatial `pooling', where the outputs of several nearby feature detectors are combined into a local or global `...
Y-Lan Boureau, Jean Ponce, Yann LeCun
AMC
2008
111views more  AMC 2008»
14 years 10 months ago
Numerical stability of fast computation algorithms of Zernike moments
A detailed, comparative study of the numerical stability of the recursive algorithms, widely used to calculate the Zernike moments of an image, is presented in this paper. While m...
George A. Papakostas, Yiannis S. Boutalis, Constan...
AR
2010
137views more  AR 2010»
14 years 10 months ago
Development of a Visual Odometry System for a Wheeled Robot on Loose Soil using a Telecentric Camera
In this paper, the development of a three-dimensional (3-D) odometry system for wheeled robots on loose soil in an application of planetary exploration is described. When a wheele...
Keiji Nagatani, Ayako Ikeda, Genya Ishigami, Kazuy...
CORR
2010
Springer
249views Education» more  CORR 2010»
14 years 10 months ago
Performance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
Blake Hunter, Thomas Strohmer