Landmark Multidimensional Scaling (LMDS) The O(N) memory complexity of cMDS makes it an impractical choice when N is the number of pixels. Randomized approaches sample rows of the distance matrix to build approximate representatives of the entire matrix [4]. Depending on the coherence of the right singular vectors of D, it has been shown [2] that the Nyström approximation is the original matrix...

A group of sinusoidally-wound coaxial toroidal coils can be used to determine the transverse distribution of a time-dependent current through their common aperture. The current is expressed in a basis of chapeau (pulse) functions over an array of pixels, and matrix methods are used to calculate the current in each pixel from the voltages induced on the coils. Optimum configurations of pixels ar...

In machine learning, observation features are measured in a metric space to obtain their distance function for optimization. Given similar that statistically sufficient as population, statistical between two probability distributions can be calculated more precise learning. Provided the observed multi-valued, is still efficient. However, due its scalar output, it cannot applied represent detail...

This paper explores the use of breadth-first graph traversal for the processing of digital images. It presents efficient algorithms for eroding, dilating, skeletonizing, and distance-transforming regions. These algorithms work by traversing regions in a breadth-first manner using a queue for storage of unprocessed pixels. They use memory efficiently--pixels are removed from the queue as soon as...

The electrical characteristics,charge collection eeciency and energy resolution of a GaAs detector made out of LEC material have been studied. A matrix of 36 square pixels was deposited on a 70 m thick crystal; each pixel had an area of 200x200 m 2 with 20 m spacing between adjacent pixels. This detector showed a charge collection eeciency uniformity among the pixels better than 88% when expose...