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CVPR
2010
IEEE
15 years 6 months ago
Learning Full Pairwise Affinities for Spectral Segmentation
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
Tae Hoon Kim (Seoul National University), Kyoung M...
ICCAD
1996
IEEE
111views Hardware» more  ICCAD 1996»
15 years 2 months ago
Multi-level spectral hypergraph partitioning with arbitrary vertex sizes
This paper presents a new spectral partitioning formulation which directly incorporates vertex size information. The new formulation results in a generalized eigenvalue problem, a...
Jason Y. Zien, Martine D. F. Schlag, Pak K. Chan
ICCV
2003
IEEE
15 years 11 months ago
Spectral Partitioning for Structure from Motion
We propose a spectral partitioning approach for large-scale optimization problems, specifically structure from motion. In structure from motion, partitioning methods reduce the pr...
Drew Steedly, Irfan A. Essa, Frank Dellaert
APPT
2009
Springer
15 years 4 months ago
Computational Performance of a Parallelized Three-Dimensional High-Order Spectral Element Toolbox
In this paper, a comprehensive performance review of an MPI-based high-order three-dimensional spectral element method C++ toolbox is presented. The focus is put on the performance...
Christoph Bosshard, Roland Bouffanais, Christian C...
SIGIR
2003
ACM
15 years 3 months ago
Document clustering based on non-negative matrix factorization
In this paper, we propose a novel document clustering method based on the non-negative factorization of the termdocument matrix of the given document corpus. In the latent semanti...
Wei Xu, Xin Liu, Yihong Gong