This paper deals with the problem of time-resolved fluorescence diffuse optical tomography. We propose a new reconstruction scheme based on a multi-resolution approximation of th...
Nicolas Ducros, Anabela da Silva, Jean-Marc Dinten...
This paper proposes a novel method called FLGP to construct a classifier device of capability in feature selection and feature extraction. FLGP is developed with layered genetic p...
This paper introduces a class of correlation filters called
Average of Synthetic Exact Filters (ASEF). For ASEF, the
correlation output is completely specified for each training
...
Bruce A. Draper, David S. Bolme, J. Ross Beveridge
The edit distance problem is a classical fundamental problem in computer science in general, and in combinatorial pattern matching in particular. The standard dynamic programming s...
Danny Hermelin, Gad M. Landau, Shir Landau, Oren W...
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...