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Institution

Center for Discrete Mathematics and Theoretical Computer Science

FacilityPiscataway, New Jersey, United States
About: Center for Discrete Mathematics and Theoretical Computer Science is a facility organization based out in Piscataway, New Jersey, United States. It is known for research contribution in the topics: Local search (optimization) & Optimization problem. The organization has 140 authors who have published 175 publications receiving 2345 citations.


Papers
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Journal ArticleDOI
TL;DR: This paper proposes a novel noise removal method for restoration of hyperspectral images corrupted by Poisson noise, based on spectral unmixing technique, and shows that the proposed method has a better performance than current Poissonion hyperspectrals image denoising methods, in terms of both image quality and computation time.

8 citations

Journal ArticleDOI
TL;DR: Simulation results illustrate that the proposed double regularization unmixing-based method for hyperspectral image (HSI) superresolution has a better performance than the state-of-the-art methods in terms of both visual effectiveness and quality indices.
Abstract: This letter proposes a novel double regularization unmixing-based method for hyperspectral image (HSI) superresolution. The proposed cost function contains two data-fidelity terms, the endmember regularization term and the abundance regularization term. Since the double regularization unmixing terms are able to exploit the spatial structure information of endmember and abundance, respectively, the nonnegative factorization (spectral unmixing) error is minimized. As a result, the performance of the proposed HSI superresolution method can be enhanced in terms of noise suppression and the special structure information preservation of reconstruction images. Finally, the associated optimization problem is effectively solved by an alternating direction optimization algorithm. Simulation results illustrate that the proposed method has a better performance than the state-of-the-art methods in terms of both visual effectiveness and quality indices.

8 citations

Journal ArticleDOI
TL;DR: It is proved that, at the proximate level, size alone is insufficient to explain the tendency for a pair of prospective copulants to elect the male sexual role by virtue of the disparity in the energetic costs of eggs and sperm.
Abstract: We investigate the existence and stability of sexual strategies (sequential hermaphrodite, successive hermaphrodite or gonochore) at a proximate level. To accomplish this, we constructed and analyzed a general dynamical game model structured by size and sex. Our main objective is to study how costs of changing sex and of sexual competition should shape the sexual behavior of a hermaphrodite. We prove that, at the proximate level, size alone is insufficient to explain the tendency for a pair of prospective copulants to elect the male sexual role by virtue of the disparity in the energetic costs of eggs and sperm. In fact, we show that the stability of sequential vs. simultaneous hermaphrodite depends on sex change costs, while the stability of protandrous vs. protogynous strategies depends on competition cost.

7 citations

Journal ArticleDOI
TL;DR: Numerical comparisons show that the derivative-free SA, DFSA, offers a reasonable alternative to some recent global optimization algorithms, especially for problems requiring a ‘direct search’ type algorithm.

7 citations

Journal ArticleDOI
TL;DR: In this article, the authors discuss the problem of characterizing graphs that can be consistently marked using at least one sign, reduce the problem to blocks, and solve it for blocks whose longest cycle has length at most 5.

6 citations


Authors

Showing all 148 results

NameH-indexPapersCitations
Aravind Srinivasan6026613711
Ding-Zhu Du5242113489
Elena N. Naumova472328593
Rebecca N. Wright371134722
Boris Mirkin351786722
Mona Singh32915451
Fred S. Roberts321815286
Tanya Y. Berger-Wolf311353624
Rephael Wenger26671900
Marios Mavronicolas261512880
Seoung Bum Kim261652260
M. Montaz Ali261013093
Lazaros K. Gallos24694770
Myong K. Jeong24951955
Nina H. Fefferman231072362
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
20226
202112
202017
20198
201822