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...
This paper presents a new spectral partitioning formulation which directly incorporates vertex size information. The new formulation results in a generalized eigenvalue problem, a...
We propose a spectral partitioning approach for large-scale optimization problems, specifically structure from motion. In structure from motion, partitioning methods reduce the pr...
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...
Background: Comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC × GCMS) is a powerful technique which has gained increasing attention over the las...