This paper describes an efficient reduction of the learning problem of ranking to binary classification. The reduction guarantees an average pairwise misranking regret of at most t...
We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define ...
We propose a recursive spatial-domain speckle reduction algorithm for synthetic aperture radar (SAR) imagery based on the unscented Kalman filter (UKF) with a discontinuity-adapt...
Gorthi R. K. Sai Subrahmanyam, A. N. Rajagopalan, ...
We prove the first general and non-trivial lower bound for the number of times a 1-out-of-n Oblivious Transfer of strings of length should be invoked so as to obtain, by an inform...
We consider the problem of classification of a pattern from multiple compressed observations that are collected in a sensor network. In particular, we exploit the properties of r...