This paper presents a new framework for anytime heuristic search where the task is to achieve as many goals as possible within the allocated resources. We show the inadequacy of t...
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
Surface relief formed by nanoimprinting and etching into a thermally grown SiO2 layer on Si was used to position the initial nuclei formed by chemically vapor deposited Si and Ge....
T. I. Kamins, A. A. Yasseri, S. Sharma, R. F. W. P...
This paper addresses the supervised classification of remote-sensing images in problems characterized by relatively small-size training sets with respect to the input feature spac...
We propose a new class of stochastic integer programs whose special features are dominance constraints induced by mixed-integer linear recourse. For these models, we establish clo...