We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
erse approaches at all levels of abstraction starting from the physical level up to the system level. Experience shows that a highlevel method may have a larger impact since the de...
Because of the large number of possible combinations for the fuel assembly loading in the core, the design of the loading pattern (LP) is a complex optimization problem. It requir...
A frequently arising problem in computational geometry is when a physical structure, such as an ad-hoc wireless sensor network or a protein backbone, can measure local information...
Mihai Badoiu, Erik D. Demaine, Mohammad Taghi Haji...
Abstract, We consider the problem of integrating Reiter's default logic into terminological representation systems. It turns out that such an integration is less straightforwa...