Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Kyu-Hwa Jeong"'
Publikováno v:
Pediatric Emergency Medicine Journal, Vol 11, Iss 1, Pp 51-56 (2024)
Factor VII deficiency is a rare, inherited coagulopathy, which can lead to prolonged bleeding. Here, we present a case report of an adolescent with factor VII deficiency who experienced small bowel bleeding that was successfully treated with tranexam
Externí odkaz:
https://doaj.org/article/bd3bd4d88a0f462285c37c73ea7ed4f1
Publikováno v:
Journal of Communications and Networks. 12:459-465
A new blind equalization algorithm that is based on maximizing the probability that the constant modulus errors concentrate near zero is proposed. The cost function of the proposed algorithm is to maximize the probability that the equalizer output po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b43789d7792f829a3eee54caecfb3f9
https://doi.org/10.1109/jcn.2010.6388491
https://doi.org/10.1109/jcn.2010.6388491
Publikováno v:
Pattern Recognition. 42:871-885
The minimum average correlation energy (MACE) filter is well known for object recognition. This paper proposes a nonlinear extension to the MACE filter using the recently introduced correntropy function. Correntropy is a positive definite function th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68cde28abb3a4b3b33c921175969bc1a
https://doi.org/10.1016/j.patcog.2008.09.023
https://doi.org/10.1016/j.patcog.2008.09.023
Autor:
Jose C. Principe, Kyu-Hwa Jeong
Publikováno v:
Neurocomputing. 72:102-111
The minimum average correlation energy (MACE) filter is a well known correlation filter for object recognition. Recently, a nonlinear extension to the MACE filter using the correntropy function in feature space has been introduced. Correntropy is a p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77071699922eb50c805a4c00a49bd65d
https://doi.org/10.1016/j.neucom.2007.12.045
https://doi.org/10.1016/j.neucom.2007.12.045
Publikováno v:
Signal Processing. 87:2733-2745
In this paper, we propose a minimum-error entropy with self-adjusting step -size (MEE-SAS) as an alternative to the minimum-error entropy (MEE) algorithm for training adaptive systems. MEE-SAS has faster speed of convergence as compared to MEE algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::736c7a7679e141d75bf942abf0a88bc7
https://doi.org/10.1016/j.sigpro.2007.05.003
https://doi.org/10.1016/j.sigpro.2007.05.003
Publikováno v:
Information Theoretic Learning ISBN: 9781441915696
Information Theoretic Learning
Information Theoretic Learning
The previous chapter defined cross-correntropy for the case of a pair of scalar random variables, and presented applications in statistical inference. This chapter extends the definition of correntropy for the case of random (or stochastic) processes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68a85ffe2226a33be18dcec0bd7af01d
https://doi.org/10.1007/978-1-4419-1570-2_11
https://doi.org/10.1007/978-1-4419-1570-2_11
Publikováno v:
Metrology, Inspection, and Process Control for Microlithography XXIII.
As technology nodes go down to 45nm and below, mask metrology becomes more important as the critical features decrease in size, while, at the same time, the number of measurements that need to be performed increases. OPC and RET put further burden on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22ec29a93c28fe3143855d8710c7881d
https://doi.org/10.1117/12.826930
https://doi.org/10.1117/12.826930
Publikováno v:
2007 IEEE Workshop on Machine Learning for Signal Processing.
This paper considers the problem of adaptive beamforming in alpha-stable (non-Gaussian) noise using the constrained minimum output entropy (MOE) based algorithm. Following the same rational that lead to the least mean p-norm (LMP), the weight update
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13b1a8c9ee64442dedebae09fdee3c41
https://doi.org/10.1109/mlsp.2007.4414346
https://doi.org/10.1109/mlsp.2007.4414346
Publikováno v:
ICASSP (2)
In this paper, we implement the newly introduced correntropy MACE filter using the fast Gauss transform (FGT). The correntropy MACE filter is a nonlinear extension to the MACE filter using the correntropy function in a feature space nonlinearly relat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67c6854d0e5c9296d89ced36171e0e09
https://doi.org/10.1109/icassp.2007.366310
https://doi.org/10.1109/icassp.2007.366310
Autor:
Kyu-Hwa Jeong, Jose C. Principe
Publikováno v:
2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing.
The minimum average correlation energy (MACE) filter is a well known correlation filter for pattern recognition. This paper proposes a nonlinear extension to the MACE filter using the recently introduced correntropy function in feature space. Corrent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a732d010471bd3535b595250a5307c7b
https://doi.org/10.1109/mlsp.2006.275513
https://doi.org/10.1109/mlsp.2006.275513