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TSP
2008
105views more  TSP 2008»
15 years 3 months ago
Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery
This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linea...
Nicolas Dobigeon, Jean-Yves Tourneret, Chein-I Cha...
109
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WSC
1998
15 years 5 months ago
Hierarchical Modular Modelling in Discrete Simulation
The increasing use of discrete simulation in modelling large and complex systems brings new challenges. One such challenge is the need to devise ways of developing modular approac...
Michael Pidd, R. Bayer Castro
ICML
2005
IEEE
16 years 4 months ago
Learning hierarchical multi-category text classification models
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
Craig Saunders, John Shawe-Taylor, Juho Rousu, S&a...
ESCIENCE
2007
IEEE
15 years 7 months ago
Formal Modeling and Analysis of Scientific Workflows Using Hierarchical State Machines
Scientific workflows have recently emerged as a new paradigm for representing and managing complex distributed scientific computations and data analysis, and have enabled and acce...
Ping Yang, Zijiang Yang, Shiyong Lu
ESANN
2007
15 years 5 months ago
A hierarchical model for syllable recognition
Inspired by recent findings on the similarities between the primary auditory and visual cortex we propose a neural network for speech recognition based on a hierarchical feedforw...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...