Hyperspectral image and videos provide rich spectral information content, which facilitates accurate classification, unmixing, temporal change detection, so on. However, with the rapid improvements in technology, data size has increased many folds. To properly handle enormous volume, efficient methods are required to compress data. This paper proposes a multi-way approach for compression of hyp...

We prove that every triangle-free planar graph on n vertices with maximum degree three has an independent set with size at least 3 8 n. This was suggested and later conjectured by Albertson, Bollobás, and Tucker.

This paper proposes an efficient and accurate forecasting algorithm for the MDCEV model. The algorithm builds on simple, yet insightful, analytical explorations with the Kuhn-Tucker conditions of optimality that shed new light on the properties of the MDCEV model. For specific, but reasonably general, functional forms of the consumption utility specification, the algorithm circumvents the need ...

train energy saving problem investigates how to control train's velocity such that the quantity of energy consumption is minimized and some system constraints are satis ed. on the assumption that the train's weights on different links are estimated by fuzzy variables when making the train scheduling strategy, we study the fuzzy train energy saving problem. first, we propose a fuzzy energy ...

specific labor organizations and leftist parties. Yet he emphasized the need to move beyond mobilizing around local, firm-specific, “economic” concerns to create “a political movement that is to say, a movement of the class, with the object of enforcing its interests in a general form, in a form possessing general, socially coercive force” (Tucker 1978:520). Marx fully appreciated that formal o...

Minimizing the nuclear norm of a matrix has been shown to be very efficient in reconstructing a low-rank sampled matrix. Furthermore, minimizing the sum of nuclear norms of matricizations of a tensor has been shown to be very efficient in recovering a low-Tucker-rank sampled tensor. In this paper, we propose to recover a low-TT-rank sampled tensor by minimizing a weighted sum of nuclear norms o...