Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
In this paper we propose a novel non-rigid volume registration based on discrete labeling and linear programming. The proposed framework reformulates registration as a minimal path...
Ben Glocker, Nikos Komodakis, Nikos Paragios, Geor...
Despite the recent advances in the theory underlying obfuscation, there still is a need to evaluate the quality of practical obfuscating transformations more quickly and easily. T...
Bertrand Anckaert, Matias Madou, Bjorn De Sutter, ...
In this paper we present a nonlinear programming solution to one of the most challenging problems in trajectory optimization. Unlike most aerospace trajectory optimization problems...
H. M. Prasanna, D. Ghose, M. S. Bhat, Chiranjib Bh...
Genomes to Life (GTL), the U.S. Department of Energy Office of Science’s systems biology program, focuses on environmental microbiology. Over the next 10 to 20 years, GTL’s ke...
Marvin Frazier, David Thomassen, Aristides Patrino...