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PAMI
2010
181views more  PAMI 2010»
13 years 8 months ago
Using Language to Learn Structured Appearance Models for Image Annotation
Abstract— Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to simultaneously learn the names and appearances o...
Michael Jamieson, Afsaneh Fazly, Suzanne Stevenson...
CORR
2007
Springer
92views Education» more  CORR 2007»
13 years 10 months ago
Bit-Interleaved Coded Multiple Beamforming with Imperfect CSIT
This paper addresses the performance of bit-interleaved coded multiple beamforming (BICMB) [1], [2] with imperfect knowledge of beamforming vectors. Most studies for limited-rate ...
Ersin Sengul, Ender Ayanoglu
ICPR
2008
IEEE
14 years 4 months ago
A method for removing cyclic artefacts in discrete tomography using latin squares
This paper presents a technique to remove image artefacts, formed under the cyclic additive group Zp, during the inverse Radon reconstruction from primedimensioned discrete projec...
Shekhar Chandra, Imants D. Svalbe
IWANN
2005
Springer
14 years 3 months ago
Bias and Variance of Rotation-Based Ensembles
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
Juan José Rodríguez, Carlos J. Alons...
VMV
2008
129views Visualization» more  VMV 2008»
13 years 11 months ago
Shape Median Based on Symmetric Area Differences
Median averaging is a powerful averaging concept on sets of vector data in finite dimensions. A generalization of the median for shapes in the plane is introduced. The underlying ...
Benjamin Berkels, Gina Linkmann, Martin Rumpf