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3DPVT
2004
IEEE
231views Visualization» more  3DPVT 2004»
15 years 10 months ago
A Variational Analysis of Shape from Specularities using Sparse Data
Looking around in our every day environment, many of the encountered objects are specular to some degree. Actively using this fact when reconstructing objects from image sequences...
Jan Erik Solem, Henrik Aanæs, Anders Heyden
TPDS
1998
92views more  TPDS 1998»
15 years 6 months ago
An Efficient Algorithm for Row Minima Computations on Basic Reconfigurable Meshes
—A matrix A of size m œ n containing items from a totally ordered universe is termed monotone if, for every i, j, 1 ‹ i < j ‹ m, the minimum value in row j lies below or to...
Koji Nakano, Stephan Olariu
SIAMIS
2011
15 years 1 months ago
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
Stephen Becker, Jérôme Bobin, Emmanue...
IPL
2010
134views more  IPL 2010»
15 years 1 months ago
Parameterized algorithm for eternal vertex cover
In this paper we initiate the study of a "dynamic" variant of the classical Vertex Cover problem, the Eternal Vertex Cover problem introduced by Klostermeyer and Mynhard...
Fedor V. Fomin, Serge Gaspers, Petr A. Golovach, D...
CVPR
2009
IEEE
17 years 1 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...
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