This paperdescribes the use of a powerful graph query language for querying programs, and a novel combination of transformations for generating efficient implementations of the q...
K. Tuncay Tekle, Michael Gorbovitski, Yanhong A. L...
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been propose...
Abstract. Scheduling problems in the forest industry have received significant attention in the recent years and have contributed many challenging applications for optimization te...
Nizar El Hachemi, Michel Gendreau, Louis-Martin Ro...
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...