Výsledky vyhledávání - "Gramacki, Artur"

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FFT-Based Fast Bandwidth Selector for Multivariate Kernel Density Estimation

Autor: Gramacki, Artur, Gramacki, Jarosław

The performance of multivariate kernel density estimation (KDE) depends strongly on the choice of bandwidth matrix. The high computational cost required for its estimation provides a big motivation to develop fast and accurate methods. One of such me

Externí odkaz: http://arxiv.org/abs/1511.07482

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FFT-Based Fast Computation of Multivariate Kernel Estimators with Unconstrained Bandwidth Matrices

Autor: Gramacki, Artur, Gramacki, Jarosław

The problem of fast computation of multivariate kernel density estimation (KDE) is still an open research problem. In our view, the existing solutions do not resolve this matter in a satisfactory way. One of the most elegant and efficient approach ut

Externí odkaz: http://arxiv.org/abs/1508.02766

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Density Estimations for Approximate Query Processing on SIMD Architectures

Autor: Andrzejewski, Witold, Gramacki, Artur, Gramacki, Jarosław

Approximate query processing (AQP) is an interesting alternative for exact query processing. It is a tool for dealing with the huge data volumes where response time is more important than perfect accuracy (this is typically the case during initial ph

Externí odkaz: http://arxiv.org/abs/1505.01998

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FPGA-Based Bandwidth Selection for Kernel Density Estimation Using High Level Synthesis Approach

Autor: Gramacki, Artur, Sawerwain, Marek, Gramacki, Jarosław

FPGA technology can offer significantly hi\-gher performance at much lower power consumption than is available from CPUs and GPUs in many computational problems. Unfortunately, programming for FPGA (using ha\-rdware description languages, HDL) is a d

Externí odkaz: http://arxiv.org/abs/1505.02100

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Akademický článek

Breast cancer nuclei segmentation and classification based on a deep learning approach

Autor: Kowal Marek, Skobel Marcin, Gramacki Artur, Korbicz Józef

Publikováno v: International Journal of Applied Mathematics and Computer Science, Vol 31, Iss 1, Pp 85-106 (2021)

One of the most popular methods in the diagnosis of breast cancer is fine-needle biopsy without aspiration. Cell nuclei are the most important elements of cancer diagnostics based on cytological images. Therefore, the first step of successful classif

Externí odkaz: https://doaj.org/article/2888787d3eea4c71a7be2af26e059911