KFDAKorea Food & Drug Administration
KFDAKernel Fisher Discriminant Analysis (computer science)
KFDAKunsten Festival des Arts (Brussels, Belgium art festival)
KFDAKansas Funeral Directors and Embalmers Association
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References in periodicals archive ?
"For instance, when I'd see him at the alley or dumping garbage, he was always carrying his gun," a neighbor told KFDA. "I was like, Just to take your garbage?' He was very different.
The KFDA Bill will address the multiple laws and agencies involved in licensing health technologies and lessen the time it takes to introduce a medical product into the market and scale it up.
[13.] KFDA. Korean Food Standards, Analytical methods of residual nirite in foods.
KFDA approved two more such premier cell-based products in sequence--Medipost's Cartistem(tm) consisting allogenic adult bone marrow derived stem cell (BMSC) for the treatment of osteoarthrisis and Anterogen's Cupistem(tm) containing autologous adult adipose derived stem cell (ADSC)for the treatment of Crohn's disease.
In addition, the Japanese Ministry of Health, Labor and Welfare (MHLW), Korean Food and Drug Administration (KFDA), the US Food and Drug Administration (FDA) as well as Health Canada has approved Exablate Neuro for the treatment of essential tremor.
Kernel Fisher discriminant analysis (KFDA) [10] and Kernel principal component analysis (KPCA) [11] are classical nonlinear feature extraction methods with dimensionality reduction.
All were purchased as dried herbs from Omniherb (Daegu, Korea) in accord with the good manufacturing practices (GMP) procedures certified by the Korea Food and Drug Administration (KFDA) and authenticated by Professor Sun-Dong Park (Department of Prescriptions, College of Korean Medicine, Dongguk University).
Light brown granules of Banhasasim-tang (Hankook Shinyak Corp., Nonsan-si, Chungcheongnam-do, Republic of Korea) produced according to Korean Good Manufacturing Practice (GMP) were permitted and regulated by the Korean Food & Drug Administration (KFDA; Seoul, Republic of Korea).
In the last more than 10 years, many kernel based approaches have been proposed, such as well-known kernel principal component analysis (KPCA) [33, 34] and kernel Fisher discriminant analysis (KFDA) [35].
Many statistic methods such as principal component analysis (PCA) [19, 20], linear discriminant analysis (LDA) [21, 22], kernel principal component Analysis (KPCA) [23] and kernel fisher discriminant analysis (KFDA) [24] have been widely investigated due to high efficiency to capture variance information among the training set.
Michael Norek, Principal Consultant and Partner at KFDA in Boston, MA.
In KFDA, the choice of kernel function is important, designs whether directly affects the classified effect appropriately.