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Institution

Lehigh University

EducationBethlehem, Pennsylvania, United States
About: Lehigh University is a education organization based out in Bethlehem, Pennsylvania, United States. It is known for research contribution in the topics: Catalysis & Fracture mechanics. The organization has 12684 authors who have published 26550 publications receiving 770061 citations.


Papers
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Journal ArticleDOI
TL;DR: The yeast Sir2 protein, required for transcriptional silencing, has an NAD+dependent histone deacetylase (HDA) activity that is eliminated in a yeast strain from which SIR2 and its four homologs have been deleted as mentioned in this paper.
Abstract: The yeast Sir2 protein, required for transcriptional silencing, has an NAD+-dependent histone deacetylase (HDA) activity. Yeast extracts contain a NAD+-dependent HDA activity that is eliminated in a yeast strain from which SIR2 and its four homologs have been deleted. This HDA activity is also displayed by purified yeast Sir2p and homologous Archaeal, eubacterial, and human proteins, and depends completely on NAD+ in all species tested. The yeast NPT1 gene, encoding an important NAD+ synthesis enzyme, is required for rDNA and telomeric silencing and contributes to silencing of the HM loci. Null mutants in this gene have significantly reduced intracellular NAD+ concentrations and have phenotypes similar to sir2 null mutants. Surprisingly, yeast from which all five SIR2 homologs have been deleted have relatively normal bulk histone acetylation levels. The evolutionary conservation of this regulated activity suggests that the Sir2 protein family represents a set of effector proteins in an evolutionarily conserved signal transduction pathway that monitors cellular energy and redox states.

761 citations

Journal ArticleDOI
01 Aug 1999
TL;DR: A generic image fusion framework based on multiscale decomposition is studied, which includes all of the existing multiscales-decomposition-based fusion approaches the authors found in the literature which did not assume a statistical model for the source images.
Abstract: The objective of image fusion is to combine information from multiple images of the same scene. The result of image fusion is a single image which is more suitable for human and machine perception or further image-processing tasks. In this paper, a generic image fusion framework based on multiscale decomposition is studied. This framework provides freedom to choose different multiscale decomposition methods and different fusion rules. The framework includes all of the existing multiscale-decomposition-based fusion approaches we found in the literature which did not assume a statistical model for the source images. Different image fusion approaches are investigated based on this framework. Some evaluation measures are suggested and applied to compare the performance of these fusion schemes for a digital camera application. The comparisons indicate that our framework includes some new approaches which outperform the existing approaches for the cases we consider.

755 citations

Book ChapterDOI
Matej Kristan1, Ales Leonardis2, Jiří Matas3, Michael Felsberg4, Roman Pflugfelder5, Luka Cehovin1, Tomas Vojir3, Gustav Häger4, Alan Lukežič1, Gustavo Fernandez5, Abhinav Gupta6, Alfredo Petrosino7, Alireza Memarmoghadam8, Alvaro Garcia-Martin9, Andres Solis Montero10, Andrea Vedaldi11, Andreas Robinson4, Andy J. Ma12, Anton Varfolomieiev13, A. Aydin Alatan14, Aykut Erdem15, Bernard Ghanem16, Bin Liu, Bohyung Han17, Brais Martinez18, Chang-Ming Chang19, Changsheng Xu20, Chong Sun21, Daijin Kim17, Dapeng Chen22, Dawei Du20, Deepak Mishra23, Dit-Yan Yeung24, Erhan Gundogdu25, Erkut Erdem15, Fahad Shahbaz Khan4, Fatih Porikli26, Fatih Porikli27, Fei Zhao20, Filiz Bunyak28, Francesco Battistone7, Gao Zhu27, Giorgio Roffo29, Gorthi R. K. Sai Subrahmanyam23, Guilherme Sousa Bastos30, Guna Seetharaman31, Henry Medeiros32, Hongdong Li27, Honggang Qi20, Horst Bischof33, Horst Possegger33, Huchuan Lu21, Hyemin Lee17, Hyeonseob Nam34, Hyung Jin Chang35, Isabela Drummond30, Jack Valmadre11, Jae-chan Jeong36, Jaeil Cho36, Jae-Yeong Lee36, Jianke Zhu37, Jiayi Feng20, Jin Gao20, Jin-Young Choi, Jingjing Xiao2, Ji-Wan Kim36, Jiyeoup Jeong, João F. Henriques11, Jochen Lang10, Jongwon Choi, José M. Martínez9, Junliang Xing20, Junyu Gao20, Kannappan Palaniappan28, Karel Lebeda38, Ke Gao28, Krystian Mikolajczyk35, Lei Qin20, Lijun Wang21, Longyin Wen19, Luca Bertinetto11, Madan Kumar Rapuru23, Mahdieh Poostchi28, Mario Edoardo Maresca7, Martin Danelljan4, Matthias Mueller16, Mengdan Zhang20, Michael Arens, Michel Valstar18, Ming Tang20, Mooyeol Baek17, Muhammad Haris Khan18, Naiyan Wang24, Nana Fan39, Noor M. Al-Shakarji28, Ondrej Miksik11, Osman Akin15, Payman Moallem8, Pedro Senna30, Philip H. S. Torr11, Pong C. Yuen12, Qingming Huang39, Qingming Huang20, Rafael Martin-Nieto9, Rengarajan Pelapur28, Richard Bowden38, Robert Laganiere10, Rustam Stolkin2, Ryan Walsh32, Sebastian B. Krah, Shengkun Li19, Shengping Zhang39, Shizeng Yao28, Simon Hadfield38, Simone Melzi29, Siwei Lyu19, Siyi Li24, Stefan Becker, Stuart Golodetz11, Sumithra Kakanuru23, Sunglok Choi36, Tao Hu20, Thomas Mauthner33, Tianzhu Zhang20, Tony P. Pridmore18, Vincenzo Santopietro7, Weiming Hu20, Wenbo Li40, Wolfgang Hübner, Xiangyuan Lan12, Xiaomeng Wang18, Xin Li39, Yang Li37, Yiannis Demiris35, Yifan Wang21, Yuankai Qi39, Zejian Yuan22, Zexiong Cai12, Zhan Xu37, Zhenyu He39, Zhizhen Chi21 
08 Oct 2016
TL;DR: The Visual Object Tracking challenge VOT2016 goes beyond its predecessors by introducing a new semi-automatic ground truth bounding box annotation methodology and extending the evaluation system with the no-reset experiment.
Abstract: The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment. The dataset, the evaluation kit as well as the results are publicly available at the challenge website (http://votchallenge.net).

744 citations

Journal ArticleDOI
TL;DR: An overview of developments in robust optimization since 2007 is provided to give a representative picture of the research topics most explored in recent years, highlight common themes in the investigations of independent research teams and highlight the contributions of rising as well as established researchers both to the theory of robust optimization and its practice.

742 citations

Journal ArticleDOI
D.R. Frey1
01 Dec 1993
TL;DR: A novel approach to filter design, based on Adams' ‘log-domain’ filters, is proposed that yields a truly current-mode circuit realisation and, by introducing an exponential map on the state-space description of the desired linear system, a log-domain filter can be fully realised.
Abstract: A novel approach to filter design, based on Adams' [1] ‘log-domain’ filters, is proposed that yields a truly current-mode circuit realisation. Adams' idea, which was introduced in a limited context, is generalised to permit a complete distortionless synthesis procedure, which results in circuit implementations readily realisable using complementary bipolar processes. It is shown that, by introducing an exponential map on the state-space description of the desired linear system, a log-domain filter can be fully realised with transistors configured in current mirror-type groupings, current sources and capacitors. Owing to the mapping, the state variables are intrinsically related to current, and not voltage, in the resulting circuits, a fact that emphasises the current-mode nature of the design. A general biquadratic filter section is designed, and, following discussion of cascading sections, a seventh-order Chebychev lowpass filter is designed. All designed circuits are shown to be tunable over a two-decade range in frequency while their characteristics are accurately preserved, even for biquad sections whose f0Q product is greater than fT/10. The Chebychev filter is shown in simulation to possess nearly 60 dB dynamic range relative to 0.9% THD, with a cutoff frequency of nearly 5 MHz, using transistor models from AT&T's CBIC-R 300 MHz complementary bipolar process.

722 citations


Authors

Showing all 12785 results

NameH-indexPapersCitations
Yang Yang1712644153049
Gang Chen1673372149819
Yi Yang143245692268
Mark D. Griffiths124123861335
Michael Gill12181086338
Masaki Mori110220066676
Kai Nan An10995351638
James R. Rice10827868943
Vinayak P. Dravid10381743612
Andrew M. Jones10376437253
Israel E. Wachs10342732029
Demetrios N. Christodoulides10070451093
Bert M. Weckhuysen10076740945
José Luis García Fierro100102747228
Mordechai Segev9972940073
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202338
2022140
20211,040
20201,054
2019933
2018935