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Gaussian Processes in Machine Learning
A Gaussian Process is a collection of random variables, any finite number of which have (consistent) joint Gaussian distributions. A Gaussian process is fully specified by its mean function m(x) and covariance function k(x,x0). This is a …
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Object Recognition from Local Scale-Invariant Features
www.cs.ubc.cageneral assumptions on scale invariance, the Gaussian ker-nel and its derivatives are the only possible smoothing ker-nels for scale space analysis. To achieve rotation invariance and a high level of effi-ciency, we have chosen to select key locations at maxima and minima of a difference of Gaussian function applied in scale space.
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