Gaussian processes (GP) are becoming more and more popular way to solve statistics and machine learning problems. One of the reasons is the increase in computational power that can handle the inherent computational pr...
Gaussian processes (GP) are becoming more and more popular way to solve statistics and machine learning problems. One of the reasons is the increase in computational power that can handle the inherent computational problem for GP models. Still, in the case of big data, the computational burden can be impractical. For this reason, various approximation methods are *** our work, we would like to present an alternative to the internal approximation by using the properties of Chebyshev polynomials. The idea is to calculate the GP model only at Chebyshev nodes and use the property of transforming function values in them to Chebyshev coefficients giving a solution to the original problem. In our research, we propose our version of the algorithm and test it on cases of various functions.
The importance of security in the modern, dynamically changing world seems to be understood across the globe. Different types of organizations, both from the public and the private sector, are creating strategies and ...
The importance of security in the modern, dynamically changing world seems to be understood across the globe. Different types of organizations, both from the public and the private sector, are creating strategies and investing large amounts of funds to implement Physical Protection Systems (PPS) in order to protect their assets. It appears relatively obvious that assessment of the effectiveness of PPS is important and required. Moreover, the result of the assessment should be reliable and cover as much as possible current threats, including those that are coming from cyberspace. In this paper, we propose a new approach to evaluating PPS. Our proposition as a starting point is using well-known EASI (Estimate of Adversary Sequence Interruption) methodology but reinforced with methods aiming to cover the cybersecurity of PPS considering all potential adversary paths.
This paper presents an analysis of the effectiveness of blood vessel segmentation in human retinal images. The segmentation process was carried out for three-dimensional optical coherence tomography (OCT) scans using ...
This paper presents an analysis of the effectiveness of blood vessel segmentation in human retinal images. The segmentation process was carried out for three-dimensional optical coherence tomography (OCT) scans using the author’s publicly available CAVRI-C database. A 3D version of the U-Net artificial neural network was used. Various dimensions of the input blocks were investigated to determine their influence on the segmentation process. The effectiveness of the proposed solutions was evaluated using various metrics and the results obtained were compared with the 2D solution, also based on neural networks. The use of the proposed solutions allowed us to improve the segmentation even by 15% (in the case of the F1-score).
This paper introduces a new data-driven MPC structure based on two offline and online parts to achieve the robust and constrained performance in an optimal scheme. In the first step, according to the model matching co...
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Object detection and segmentation are two core modules of an autonomous vehicle perception system. They should have high efficiency and low latency while reducing computational complexity. Currently, the most commonly...
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Object detection and segmentation are two core modules of an autonomous vehicle perception system. They should have high efficiency and low latency while reducing computational complexity. Currently, the most commonly...
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In this paper we have addressed the implementation of the accumulation and projection of high-resolution event data stream (HD – 1280 × 720 pixels) onto the image plane in FPGA devices. The results confirm the f...
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In this paper we have addressed the implementation of the accumulation and projection of high-resolution event data stream (HD – 1280×720 pixels) onto the image plane in FPGA devices. The results confirm the fea...
In this paper we have addressed the implementation of the accumulation and projection of high-resolution event data stream (HD – 1280×720 pixels) onto the image plane in FPGA devices. The results confirm the feasibility of this approach, but there are a number of challenges, limitations and trade-offs to be considered. The required hardware resources of selected data representations, such as binary frame, event frame, exponentially decaying time surface and event frequency, were compared with those available on several popular platforms from AMD Xilinx. The resulting event frames can be used for typical vision algorithms, such as object classification and detection, using both classical and deep neural network methods.
In this paper we have addressed the implementation of the accumulation and projection of high-resolution event data stream (HD – 1280 × 720 pixels) onto the image plane in FPGA devices. The results confirm the f...
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Object detection in 3D is a crucial aspect in the context of autonomous vehicles and drones. However, prototyping detection algorithms is time-consuming and costly in terms of energy and environmental impact. To addre...
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