ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
In many applications, it is desirable to work with signatures that are both short, and yet where many messages from different signers be verified very quickly. RSA signatures sati...
Anna Lisa Ferrara, Matthew Green, Susan Hohenberge...
Background: The joint analysis of several categorical variables is a common task in many areas of biology, and is becoming central to systems biology investigations whose goal is ...
Corinne Dahinden, Giovanni Parmigiani, Mark C. Eme...
In runtime monitoring, a programmer specifies a piece of code to execute when a trace of events occurs during program execution. Previous and related work has shown that runtime m...