نتایج جستجو برای: rejection method

تعداد نتایج: 1659905  

Journal: :European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery 2000
D Babuty M C Machet P Neville M Aupart M C Grangeponte

BACKGROUND AND METHOD Asymmetric distribution of histologic lesions have been reported in grafted hearts that could hamper the interpretation of right ventricular endomyocardial biopsy. Heterotopic heart transplantations were performed in rats (n=59) and guinea pigs (n=20). Grafted hearts were examined by a pathologist who established the degree of cardiac rejection in the four cardiac cavities...

Journal: :Journal of Korean Institute of Industrial Engineers 2016

2001
Giorgio Fumera Fabio Roli Gianni Vernazza

In the literature, the introduction of the reject option in Multiple Classifier Systems has been analysed only from the experimental point of view. Following a first theoretical analysis provided by the authors, in this paper, we analyse, in the framework of the minimum risk theory, the problem of finding the best error-reject tradeoff achievable by a linear combination of a given set of traine...

Journal: :Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association 1996
J M Gonzalez-Posada M C Garcia-Castro L P Tamajon A Torres D Hernandez M Losada B Maceira E Salido

BACKGROUND Percutaneous biopsy is the method of choice for differential diagnosis of renal allograft dysfunction, although it is not risk-free. The use of less aggressive methods for diagnosis should limit the need for percutaneous biopsy to some specific situations. METHODS We analysed 42 fine-needle aspiration biopsies from 36 kidney allograft recipients immunosuppressed with quadruple sequ...

Journal: :CoRR 2015
Filipe Condessa José M. Bioucas-Dias Carlos A. Castro John A. Ozolek Jelena Kovacevic

We introduce a new supervised algorithm for image classification with rejection using multiscale contextual information. Rejection is desired in image-classification applications that require a robust classifier but not the classification of the entire image. The proposed algorithm combines local and multiscale contextual information with rejection, improving the classification performance. As ...

1998
Dong-hwa Kim Young-Ho Kim

M efficient rejection method is implemented for the HMM based small vocabulary isolated word recognition system. Six clustered phoneme models are generated using statistical method from the 45 context independent Korean phoneme models which were trained using the phonetically balanced Korean speech database and the classification through likelihood ratio scoring is performed based on the cluste...

2014
Sara Abbaspour Ali Fallah

The electrocardiogram signal which represents the electrical activity of the heart provides interference in the recording of the electromyogram signal, when the electromyogram signal is recorded from muscles close to the heart. Therefore, due to impurities, electromyogram signals recorded from this area cannot be used. In this paper, a new method was developed using a combination of artificial ...

2005
Wenming Cao Jianhui Hu Gang Xiao Shoujue Wang

In this paper, we constructed a neuron of point covering of highdimensional space, and proposed a new method for iris recognition based on point covering theory of high-dimensional space. In this method, irises are trained as “cognition” one class by one class, and it doesn’t influence the original recognition knowledge for samples of the new added class. The results of experiments show the rej...

Journal: :CoRR 2018
Axel Bacher

We present random sampling procedures for Motzkin and Schröder paths, following previous work on Dyck paths. Our algorithms follow the anticipated rejection method of the Florentine algorithms (Barcucci et al. 1994+), but introduce a recovery idea to greatly reduce the probability of rejection. They use an optimal amount of randomness and achieve a better time complexity than the Florentine alg...

Journal: :International journal of bioinformatics research and applications 2012
Davoud Moulavi Mohsen Hajiloo Jörg Sander Philip F. Halloran Russell Greiner

Current method of diagnosing kidney rejection based on histopathology of renal biopsies in form of lesion scores is error-prone. Researchers use gene expression microarrays in combination of machine learning to build better kidney rejection predictors. However the high dimensionality of data makes this task challenging and compels application of feature selection methods. We present a method fo...

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