We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
In a history-based trust-management system, users and service providers use information about past transactions to make trust-based decisions concerning current transactions. One ...
We present a novel framework based on hidden Markov models (HMMs) for matching feature point sets, which capture the shapes of object contours of interest. Point matching algorith...
Image based rendering (IBR) usually produces severe artifacts, typically blur and ghost, for objects not located on the focal plane. To obtain an all clear result, previous works ...
A protein is a sequence of amino-acids of length typically less than 1, 000, where there are 20 kinds of amino-acids. In nature, each protein is folded into a well-defined three-d...