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ICIAR
2005
Springer
15 years 3 months ago
Estimating the Natural Number of Classes on Hierarchically Clustered Multi-spectral Images
Image classification is often used to extract information from multi-spectral satellite images. Unsupervised methods can produce results well adjusted to the data, but that are us...
André R. S. Marçal, Janete S. Borges
PPAM
2005
Springer
15 years 3 months ago
Adapting Linear Algebra Codes to the Memory Hierarchy Using a Hypermatrix Scheme
Abstract. We present the way in which we adapt data and computations to the underlying memory hierarchy by means of a hierarchical data structure known as hypermatrix. The applicat...
José R. Herrero, Juan J. Navarro
ML
2006
ACM
187views Machine Learning» more  ML 2006»
14 years 9 months ago
Modeling, analyzing, and synthesizing expressive piano performance with graphical models
Abstract Trained musicians intuitively produce expressive variations that add to their audience's enjoyment. However, there is little quantitative information about the kinds ...
Graham Grindlay, David P. Helmbold
KES
2000
Springer
15 years 1 months ago
Hierarchical growing cell structures: TreeGCS
We propose a hierarchical, unsupervised clustering algorithm (TreeGCS) based upon the Growing Cell Structure (GCS) neural network of Fritzke. Our algorithm improves an inconsisten...
Victoria J. Hodge, James Austin
CCE
2006
14 years 9 months ago
Hierarchical multiscale model-based design of experiments, catalysts, and reactors for fuel processing
In this paper a hierarchical multiscale simulation framework is outlined and experimental data injection into this framework is discussed. Specifically, we discuss multiscale mode...
D. G. Vlachos, A. B. Mhadeshwar, N. S. Kaisare