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ICPR
2010
IEEE
15 years 7 months ago
Statistical Shape Modeling using Morphological Representations
The aim of this paper is to propose tools for statistical analysis of shape families using morphological operators. Given a series of shape families (or shape categories), the appr...
S. Velasco-Forero and J. Angulo
79
Voted
AE
2005
Springer
15 years 6 months ago
An Exponential Representation in the API Algorithm for Hidden Markov Models Training
In this paper, we show how an efficient ant based algorithm, called API and initially designed to perform real parameter optimization, can be adapted to the difficult problem of Hi...
Sebastien Aupetit, Nicolas Monmarché, Moham...
139
Voted
ALT
2008
Springer
15 years 9 months ago
Computational Models of Neural Representations in the Human Brain
Abstract For many centuries scientists have wondered how the human brain represents thoughts in terms of the underlying biology of neural activity. Philosophers, linguists, cogniti...
Tom M. Mitchell
92
Voted
ICCV
2005
IEEE
16 years 2 months ago
Learning Non-Negative Sparse Image Codes by Convex Programming
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
Christoph Schnörr, Matthias Heiler
97
Voted
IROS
2007
IEEE
198views Robotics» more  IROS 2007»
15 years 7 months ago
Topological mapping, localization and navigation using image collections
Abstract— In this paper we present a highly scalable visionbased localization and mapping method using image collections. A topological world representation is created online dur...
Friedrich Fraundorfer, Christopher Engels, David N...