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ICPR
2002
IEEE
14 years 6 months ago
A Fast Leading Eigenvector Approximation for Segmentation and Grouping
We present a fast non-iterative method for approximating the leading eigenvector so as to render graph-spectral based grouping algorithms more efficient. The approximation is base...
Antonio Robles-Kelly, Sudeep Sarkar, Edwin R. Hanc...
ICCV
1999
IEEE
14 years 7 months ago
Segmentation using Eigenvectors: A Unifying View
Automatic grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated good performance on this task using...
Yair Weiss
NIPS
2004
13 years 6 months ago
Hierarchical Eigensolver for Transition Matrices in Spectral Methods
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
Chakra Chennubhotla, Allan D. Jepson
CLEF
2010
Springer
13 years 19 hour ago
FastDocode: Finding Approximated Segments of N-Grams for Document Copy Detection - Lab Report for PAN at CLEF 2010
Nowadays, plagiarism has been presented as one of the main distresses that the information technology revolution has lead into our society for which using pattern matching algorith...
Gabriel Oberreuter, Gaston L'Huillier, Sebasti&aac...
SCALESPACE
2001
Springer
13 years 9 months ago
Generic Multi-scale Segmentation and Curve Approximation Method
Abstract. We propose a new complete method to extract significant description(s) of planar curves according to constant curvature segments. This method is based (i) on a multi-sca...
Marielle Mokhtari, Robert Bergevin