The data were analyzed using an original and innovative algorithm based on graph generation and Bayesian filters. Linear regression models revealed significant correlations between beacon-derived location and ground-truth tracking time, with intraclass correlations suggesting a high goodness of fit (R2=....
In this article we analyse the Viola algorithm [12] and other derivatives from the point of view of input characteristics and computing time.doi:10.1007/978-3-319-18833-1_19Alexandre Paz MenaNational University of Distance EducationMargarita Bachiller Mayoral...
same type have different characteristics, their compression algorithms and results will also be different. Adaptive compression chooses the suitable compression algorithm for data based on the data type and characteristics, achieving high performance in compression ratio, import, and query.Benefits ...
And then we propose a facial expression recognition system, which is a combination of some characteristics of the human visual cortex (HVC) and a statistical synthesis of hierarchical classifiers. In this scheme, local features are first obtained by encoding the outputs of Gabor filters on local ...
One of the key features of Nsight Compute for CUDA 11 is the ability to generate the Roofline model of the application. A Roofline model is a visually intuitive method for you to understand kernel characteristics by combining floating-point performance, arithmetic intensity, and memory bandwidth ...
The structural elements are then recognized based on their invariant spatial characteristics and their positions relative to one another in any new SST image. The algorithm outputs a set of digital arrays that are vector descriptors of all the significant structural elements of the frontal map. ...
(N = 1858) was also less representative of the full sample in terms of age, sex, racial composition, and household income. In a control analysis, we subsampled participants from the main sample to match characteristics of the full sample, thus simultaneously addressing issues about data ...
Simulation-based optimization of geometry parameters is an inherent and important stage of microwave design process. To ensure reliability, the optimization process is normally carried out using full-wave electromagnetic (EM) simulation tools, which enta
One solution is to use a declarative approach: this allows users of a feature finder to simply state what properties a feature has, and how a feature is composed, rather than having to give an algorithm to find instances of the feature. The performance issue is a bottleneck in industrial ...
Filter methods rely on general characteristics of the data to evaluate and to select the feature subsets without involving the chosen learning algorithm (QDA in this example). Wrapper methods use the performance of the chosen learning algorithm to evaluate each candidate feature subset. Wrapper ...