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» A Randomized Method for Integrated Exploration
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136
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ICCV
2007
IEEE
15 years 11 months ago
Image Classification using Random Forests and Ferns
We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i...
Andrew Zisserman, Anna Bosch, Xavier Muñoz
82
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Snapshot spectral imaging via compressive random convolution
Spectral imaging is of interest in many applications, including wide-area airborne surveillance, remote sensing, and tissue spectroscopy. Coded aperture spectral snapshot imaging ...
Yao Wu, Gonzalo R. Arce
BMCBI
2010
143views more  BMCBI 2010»
14 years 9 months ago
ETE: a python Environment for Tree Exploration
Background: Many bioinformatics analyses, ranging from gene clustering to phylogenetics, produce hierarchical trees as their main result. These are used to represent the relations...
Jaime Huerta-Cepas, Joaquín Dopazo, Toni Ga...
TSMC
2002
119views more  TSMC 2002»
14 years 9 months ago
Nonlinear adaptive control using the Fourier integral and its application to CSTR systems
Abstract--This paper presents a new nonlinear adaptive tracking controller for a class of general time-variant nonlinear systems. The control system consists of an inner loop and a...
Huaguang Zhang, Lilong Cai
CGF
2010
189views more  CGF 2010»
14 years 9 months ago
Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns
Spatiotemporal data pose serious challenges to analysts in geographic and other domains. Owing to the complexity of the geospatial and temporal components, this kind of data canno...
Gennady L. Andrienko, Natalia V. Andrienko, Sebast...