In this paper, we present a new cost model for nearest neighbor search in high-dimensional data space. We first analyze different nearest neighbor algorithms, present a generaliza...
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
Yoav Freund, Robert E. Schapire, Yoram Singer, Man...
common use is the distinction into two (abstract) fault models: A new fault modelling scheme for integrated analogue general the "Single Hard Fault Model (SHFM)" and the ...
Interframe compression techniques, such as those used in MPEG video, give rise to a coded bit stream where picture sizes di er by a factor of 10 or more. As a result, bu ering is ...
Factor analysis is a statistical technique for reducing the number of factors responsible for a matrix of correlations to a smaller number of factors that may reflect underlying va...