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CVPR
2006
IEEE
15 years 11 months ago
Meta-Evaluation of Image Segmentation Using Machine Learning
Image segmentation is a fundamental step in many computer vision applications. Generally, the choice of a segmentation algorithm, or parameterization of a given algorithm, is sele...
Hui Zhang, Sharath R. Cholleti, Sally A. Goldman, ...
WADS
2009
Springer
243views Algorithms» more  WADS 2009»
15 years 4 months ago
Resolving Loads with Positive Interior Stresses
We consider the pair (pi, fi) as a force with two-dimensional direction vector fi applied at the point pi in the plane. For a given set of forces we ask for a non-crossing geometri...
Günter Rote, André Schulz
PAMI
2011
14 years 4 months ago
Color Constancy Using Natural Image Statistics and Scene Semantics
—Existing color constancy methods are all based on specific assumptions such as the spatial and spectral characteristics of images. As a consequence, no algorithm can be conside...
Arjan Gijsenij, Theo Gevers
DAM
2007
100views more  DAM 2007»
14 years 9 months ago
Partially ordered knapsack and applications to scheduling
In the partially-ordered knapsack problem (POK) we are given a set N of items and a partial order ≺P on N. Each item has a size and an associated weight. The objective is to pac...
Stavros G. Kolliopoulos, George Steiner
IJCNN
2008
IEEE
15 years 4 months ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...