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ICML
2005
IEEE
14 years 8 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
ICASSP
2009
IEEE
14 years 2 months ago
Convex analysis based minimum-volume enclosing simplex algorithm for hyperspectral unmixing
Abstract—Hyperspectral unmixing aims at identifying the hidden spectral signatures (or endmembers) and their corresponding proportions (or abundances) from an observed hyperspect...
Tsung-Han Chan, Chong-Yung Chi, Yu-Min Huang, Wing...
ICCV
2005
IEEE
14 years 1 months ago
Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking
We address the problem of seeking the global mode of a density function using the mean shift algorithm. Mean shift, like other gradient ascent optimisation methods, is susceptible...
Chunhua Shen, Michael J. Brooks, Anton van den Hen...
HICSS
2003
IEEE
132views Biometrics» more  HICSS 2003»
14 years 24 days ago
Markets for Reliability and Financial Options in Electricity: Theory to Support the Practice
The underlying structure of why and how consumers value reliability of electric service is explored, together with the technological options and cost characteristics for the provi...
Timothy Mount, William Schulze, Richard E. Schuler
ESEC
1999
Springer
13 years 11 months ago
Yesterday, My Program Worked. Today, It Does Not. Why?
Imagine some program and a number of changes. If none of these changes is applied (“yesterday”), the program works. If all changes are applied (“today”), the program does n...
Andreas Zeller