Zobrazeno 1 - 10
of 602
pro vyhledávání: '"Michael K. Ng"'
Publikováno v:
Machine Learning with Applications, Vol 13, Iss , Pp 100479- (2023)
In this paper, we study the problem of multilinear multitask learning (MLMTL), in which all tasks are stacked into a third-order tensor for consideration. In contrast to conventional multitask learning, MLMTL can explore inherent correlations among m
Externí odkaz:
https://doaj.org/article/145c398bf3e440048934d98213b0385d
Autor:
Lina Zhuang, Michael K. Ng
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 1143-1157 (2020)
This article introduces a new hyperspectral image (HSI) denoising method that is able to cope with additive mixed noise, i.e., mixture of Gaussian noise, impulse noise, and stripes, which usually corrupt hyperspectral images in the acquisition proces
Externí odkaz:
https://doaj.org/article/255cde5519864dec83b46ec9077c0344
Publikováno v:
Advances in Meteorology, Vol 2022 (2022)
Windshear is a kind of microscale meteorological phenomenon which can cause danger to the landing and takeoff of aircrafts. Accurate windshear detection plays a crucial role in aviation safety. With the development of machine learning, several learni
Externí odkaz:
https://doaj.org/article/0a12d98d80cb45ff878a23c5654d29cd
Publikováno v:
Advances in Meteorology, Vol 2022 (2022)
In this article, we propose a light detection and ranging (LiDAR) data denoising scheme for wind profile observation as a part of quality control procedure for wind velocity monitoring and windshear detection. The proposed denoising scheme consists o
Externí odkaz:
https://doaj.org/article/33745a1611644d8c989ad7f3a2970efe
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4098 (2021)
The ever-increasing spectral resolution of hyperspectral images (HSIs) is often obtained at the cost of a decrease in the signal-to-noise ratio (SNR) of the measurements. The decreased SNR reduces the reliability of measured features or information e
Externí odkaz:
https://doaj.org/article/f1566ee318fe468696e5b7eb64802d95
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4117 (2020)
Spectral unmixing (SU) aims at decomposing the mixed pixel into basic components, called endmembers with corresponding abundance fractions. Linear mixing model (LMM) and nonlinear mixing models (NLMMs) are two main classes to solve the SU. This paper
Externí odkaz:
https://doaj.org/article/b8c3762dc0ec4cbdb953ff7b445af49d
Autor:
Harry Chow, Michael K. Ng
Publikováno v:
Case Reports in Surgery, Vol 2015 (2015)
We discuss the first ever case of rivaroxaban causing major intra-abdominal hemorrhage found in a patient during emergency hernioplasty. The source of bleeding was not identified either intra- or postoperatively. This is on a background of treatment
Externí odkaz:
https://doaj.org/article/f5d8c6e541934369834d3b3801596c5d
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
Super-resolution (SR) reconstruction technique is capable of producing a high-resolution image from a sequence of low-resolution images. In this paper, we study an efficient SR algorithm for digital video. To effectively deal with the intractable pro
Externí odkaz:
https://doaj.org/article/a6f88ee1040444d2871e000f2040c936
Publikováno v:
Neural Networks. 161:343-358
Publikováno v:
Neural Networks. 160:63-83
Deep neural networks have achieved great success in solving many machine learning and computer vision problems. In this paper, we propose a deep neural network called the Tucker network derived from the Tucker format and analyze its expressive power.