Alternative proofs of the Weierstrass uniform approximation theorem have been provided by numerous mathematicians, including renowned ones. Among them, there was Bernstein that used a set of polynomials known as the B...
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Alternative proofs of the Weierstrass uniform approximation theorem have been provided by numerous mathematicians, including renowned ones. Among them, there was Bernstein that used a set of polynomials known as the Bernstein polynomials. Motivated by the advancements in computational disciplines, we propose a new type of Szász-Mirakjan-Kantorovich operators that incorporate a shape parameterα. Certain shape-preserving properties, such as monotonicity and convexity, are achieved by computing the first and second order derivatives of the proposed operators. Certain approximation properties, including the statistical rate of convergence, are also obtained using a regular summability matrix. Finally, theoretical results are supported by illustrative graphics and numerical experiments using the Mathematica computer program. The operators defined in this paper may be used in computer and computational sciences, including in robotic manipulator control.
The report presents the results of the creation of algorithms that allow to investigate and analyze the signals of the movement of the center of mass of the body when walking, as well as to make their qualitative and ...
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Experiments on public datasets suggest that this method certifies its effectiveness, reaches human-level performance, and outperforms current state-of-the-art methods with 92.8% on the extended Cohn-Kanade (CK+) and 8...
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Experiments on public datasets suggest that this method certifies its effectiveness, reaches human-level performance, and outperforms current state-of-the-art methods with 92.8% on the extended Cohn-Kanade (CK+) and 87.0% on FERPLUS.
“A locally-processed light-weight deep neural network for detecting colorectal polyps in wireless capsule endoscopes” propose a light-weight DNN model that has the potential of running locally in the WCE [2].
[...]only images indicating potential diseases are transmitted, saving energy on data transmission.
Background subtraction is a substantially important video processing task that aims at separating the foreground from a video in order to make the post-processing tasks efficient.
[...]several different techniques have been proposed for this task but most of them cannot perform well for the videos having variations in both the foreground and the background.
“Background subtraction in videos using LRMF and CWM algorithm,” a novel background subtraction technique is proposed that aims at progressively fitting a particular subspace for the background that is obtained from L1-low rank matrix regularization using the cyclic weighted median algorithm and a certain distribution of a mixture of Gaussian noise for the foreground [3].
Recently, it has become simple to produce trustworthy face video exchanges that leave a few signs of deception thanks to in-depth free reading software tools (DF). Despite decades of effective use of visual effects in...
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The advancements in digital videos led to new demands and novel research opportunities. Many tools and methods are developed over time for efficient video browsing. One of the widespread methods is to extract keyframe...
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Two online meetings of the JRTIP editorial board were held in 2021 and based on the discussions at these meetings, several steps were taken to shorten the review cycle time to one month for the first round of reviews ...
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Two online meetings of the JRTIP editorial board were held in 2021 and based on the discussions at these meetings, several steps were taken to shorten the review cycle time to one month for the first round of reviews and two weeks for the second round of reviews.
A new publication model is being considered and discussed with Springer for Volume 19 in 2022 which is called Continuous Article Publishing (or CAP).
Furthermore, since the new impact factor computational approach now includes online papers with DOIs, impact factor would not get affected by adopting the CAP model.
Digital video is one of the most important media in current communication. It is very popular for its rich content and vivid forms. With a rapid development of the Internet, the progress of computer technology makes c...
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Similarity-based exploration is an effective method in knowledge discovery. Faced with multivariate event sequence data (MVES), developing a satisfactory similarity measurement for a specific question is challenging b...
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Similarity-based exploration is an effective method in knowledge discovery. Faced with multivariate event sequence data (MVES), developing a satisfactory similarity measurement for a specific question is challenging because of the heterogeneity introduced by numerous attributes with different data formats, coupled with their associations. Additionally, the absence of effective validation feedback makes judging the goodness of a measurement scheme a time-consuming and error-prone procedure. To free analysts from tedious programming to concentrate on the exploration of MVES data, this paper introduces an interactive similarity builder, where analysts can use visual building blocks for assembling similarity measurements in a drag-and-drop and incremental fashion. Based on the builder, we further propose a visual analytics framework that provides multi-granularity visual validations for measurement schemes and supports a recursive workflow for refining the focus set. We illustrate the power of our prototype through a case study and a user study with real-world datasets. Results suggest that the system improves the efficiency of developing similarity measurements and the usefulness of exploring MVES data.
With the development of avionics systems, Avionics Digital Video Bus (ARINC 818) and Digital Information Transmission System (Arinc429) have become a new generation of aviation video transmission and communication bus...
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Infographics are an aesthetic visual representation of information following specific design principles of human perception. Designing infographics can be a tedious process for non-experts and time-consuming, even for...
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Infographics are an aesthetic visual representation of information following specific design principles of human perception. Designing infographics can be a tedious process for non-experts and time-consuming, even for professional designers. With the help of designers, we propose a semi-automated infographic framework for general structured and flow-based infographic design generation. For novice designers, our framework automatically creates and ranks infographic designs for a user-provided text with no requirement for design input. However, expert designers can still provide custom design inputs to customize the infographics. We will also contribute an individual visual group (VG) designs dataset (in SVG), along with a 1k complete infographic image dataset with segmented VGs in this work. Evaluation results confirm that by using our framework, designers from all expertise levels can generate generic infographic designs faster than existing methods while maintaining the same quality as hand-designed infographics templates.
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