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出典(authority):フリー百科事典『ウィキペディア（Wikipedia）』「2015/02/12 07:22:35」(JST)

Woods D1.
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences.Philos Trans A Math Phys Eng Sci.2015 Jul 28;373(2046). pii: 20140214.
Molecular self-assembly, the formation of large structures by small pieces of matter sticking together according to simple local interactions, is a ubiquitous phenomenon. A challenging engineering goal is to design a few molecules so that large numbers of them can self-assemble into desired complica
PMID 26078347

Biased Random-Key Genetic Algorithms for the Winner Determination Problem in Combinatorial Auctions.

de Andrade CE1, Toso RF2, Resende MG3, Miyazawa FK4.
Evolutionary computation.Evol Comput.2015 Summer;23(2):279-307. doi: 10.1162/EVCO_a_00138. Epub 2014 Oct 9.
In this paper we address the problem of picking a subset of bids in a general combinatorial auction so as to maximize the overall profit using the first-price model. This winner determination problem assumes that a single bidding round is held to determine both the winners and prices to be paid. We
PMID 25299242

The $L_0$ Regularized Mumford-Shah Model for Bias Correction and Segmentation of Medical Images.

Duan Y, Chang H, Huang W, Zhou J, Lu Z, Wu C.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.IEEE Trans Image Process.2015 Jul 1. [Epub ahead of print]
We propose a new variant of the Mumford-Shah model for simultaneous bias correction and segmentation of images with intensity inhomogeneity. First, based on the model of images with intensity inhomogeneity, we introduce an L0 gradient regularizer to model the true intensity and a smooth regularizer
PMID 26151940