scale image if too large. Looking at the mailing list archives, it looks like I can't do this, but I thought I'd check. If the image will fit within some...
FUBAR uses the statistical technique "Kriging" to rescale images with an global geometric pattern, called the variogram.
The image can be infinitely rescaled: the estimates ('o' on the left figure) are calculated from five neighbouring samples of the source image ('+' on the left figure). The image is 'noisy' because each pixel is a realization of the estimated value. In other words, each pixel is a random value with a mean and a variance from the local distribution. By changing the variogram (press 'v') or the variance multiplier, it is possible to control that variance.
Clicking the left mouse button zooms in on the image and right-click zooms the image back out. Press SPACEBAR to accept the current realization as the 'source image' -this will reduce noise at small scales.
An agent capable of general intelligence approximates the
knowledge level on an
unbounded set of problems with little inherent knowledge of the domain.
The capabilities needed to support general
intelligence are not generally known (although many have been
empirically determined
to be of significant importance; e.g.,
learning)
Additionally, no theory exists for determining either the
necessary or sufficient structures needed to support particular capabilities
and certainly not to support general intelligence
(although see
Unified Theories of Cognition for work in
developing such theories)
The peers@play project investigates how peer-to-peer technology can be used to create distributed interactive world models that are able to fulfill the highest requirements with respect to scalability, security and consistency. Such world models can, e.g.
Nicht-Lineares skalieren.
The Seam Carving procedure aims at resizing pictures non uniformly while preserving their features, i.e. avoiding distortion of the important parts.