Diferencia entre revisiones de «Presentaciones-informes-software-veganzones»
De Grupo de Inteligencia Computacional (GIC)
| (No se muestran 3 ediciones intermedias del mismo usuario) | |||
| Línea 1: | Línea 1: | ||
== Presentaciones // | == Presentaciones // Slides == | ||
* [[Media:vapnik_cap1.pdf | Statistical Learning Theory by Vapnik - Fundamentals]] | * [[Media:vapnik_cap1.pdf | Statistical Learning Theory by Vapnik - Fundamentals]] | ||
* [[Media:vapnik_cap2.pdf | Statistical Learning Theory by Vapnik - Consistency of learning processes]] | * [[Media:vapnik_cap2.pdf | Statistical Learning Theory by Vapnik - Consistency of learning processes (work in progress)]] | ||
* [[Media:svm.pdf | Support Vector Machines]] | * [[Media:svm.pdf | Support Vector Machines]] | ||
| Línea 20: | Línea 20: | ||
* [[Media:verona2008.pdf | Endmember Induction Methods for Hyperspectral Imagery (work in progress)]] | * [[Media:verona2008.pdf | Endmember Induction Methods for Hyperspectral Imagery (work in progress)]] | ||
* [[Media:loadHypercubesMatlab.pdf | How to load hyperspectral images with Matlab]] | |||
== Software == | == Software == | ||
* [[Hyperspectral Imagery Synthesis tools for MATLAB]] | * [[Hyperspectral Imagery Synthesis tools for MATLAB]] | ||
* [[Endmember Induction Algorithms (EIAs) for MATLAB and SCILAB | Endmember Induction Algorithms]] | |||
Revisión actual - 14:22 2 feb 2012
Presentaciones // Slides
Informes // Reports
- Endmember Induction Methods for Hyperspectral Imagery (work in progress)
- How to load hyperspectral images with Matlab
