Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yao Hsiang Yang"'
Autor:
Ahsan Pervaiz, Yao Hsiang Yang, Adam Duracz, Ferenc Bartha, Ryuichi Sai, Connor Imes, Robert Cartwright, Krishna Palem, Shan Lu, Henry Hoffmann
Publikováno v:
Proceedings of the 2022 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software.
Autor:
Robert Cartwright, Yan Pei, Krishna V. Palem, Connor Imes, Saeid Barati, Andrew Wright, Ryuichi Sai, Henry Hoffmann, Keshav Pingali, Ferenc Bartha, Swarnendu Biswas, Arvind, Dung Nguyen, Jason E. Miller, Yao-Hsiang Yang, Sizhuo Zhang, Adam Duracz, Nikita Mishra, Donald S. Fussell
Publikováno v:
IEEE Software. 36:73-82
Our software framework, Proteus, treats adaptation as a first-class object, enabling rapid development of robust, adaptive applications. Proteus developers specify their programs' intent and adaptable components (or knobs). A control-theoretic runtim
Publikováno v:
ICPR
Linear discriminant analysis that takes spatial smoothness into account has been developed and widely used in image processing society. However, two questions remain unanswered. First, which is the best way to incorporate the smoothness property of i
Autor:
Wei-Yi Chang, Chun-Hung Soh, Yao-Hsiang Yang, Wen-Kuan Yeh, Cheng-Li Lin, Chien-Ting Lin, Chun-Ming Wu, Yen-Lun Huang
Publikováno v:
2013 IEEE 8th Nanotechnology Materials and Devices Conference (NMDC).
This study investigates the device characteristics of the ultra-thin body (UTB) SOI MOSFETs with different channel lengths. The device reliability, body charging effect, and oxide trap distribution are also studied. The P-type device reveals more deg
Publikováno v:
ICIP
This paper introduces a general framework for image contrast enhancement based on histogram equalization (HE) and specification (HS). Traditional HE and HS are simple and effective, but they often amplify the noise level of the image while enhancing
Publikováno v:
CVPR
Natural images are known to carry several distinct properties which are not shared with randomly generated images. In this article we utilize the scale invariant property of natural images to construct a filter which extracts features invariant to il