Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
— This paper introduces a heuristic solution to the multiple restricted multiplication (MRM) optimization problem. MRM refers to a situation where a single variable is multiplied...
Nalin Sidahao, George A. Constantinides, Peter Y. ...
Bounding constraints are used to bound the tolerance of solutions under certain undesirable features. Standard solvers propagate them one by one. Often times, it is easy to satisfy...
This work treats the problem of error-resilient DNA searching via oblivious evaluation of finite automata, formulated as follows: a client has a DNA sequence, and a service provid...
In this paper, we discuss semidefinite relaxation techniques for computing minimal size ellipsoids that bound the solution set of a system of uncertain linear equations. The propo...