Saliency maps are probably the most popular. However, it is still unclear how to properly interpret saliency maps for a given image and which techniques perform most accurately. This paper presents a methodology to practically evaluate the real effectiveness of saliency map generation methods. We ...
Quantum annealers manufactured by D-Wave Systems, Inc., are computational devices capable of finding high-quality heuristic solutions of NP-hard problems. In this contribution, we explore the potential and effectiveness of such quantum annealers for computing Boolean tensor networks. Tensors offer a ...
Air pollution is a risk factor for many diseases that can lead to death. Therefore, it is important to develop forecasting mechanisms that can be used by t
Parallelized rotation and flipping INvariant Kohonen maps machine-learningsomkohonen-mapself-organizing-mapastronomical-algorithmssom-training UpdatedAug 9, 2023 Jupyter Notebook GUI application for calculating human-visible colors of celestial bodies from their photometric data ...
Additional information Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Supplementary Information Below is the link to the electronic supplementary material. Supplementary material 1 (R 4 KB) Supplementary material 2 (R ...
Deep-learning Convolutional Neural Networks for Scattered Shrub Detection with Google Earth Imagery. Remote Sensing 9(12), 1220. [30] Guzzetti, F., Mondini, A.C., Cardinali, M., Fiorucci, F., Santangelo, M., Chang, K.T., 2012.Landslide inventory maps: new tools for an old problem....
Web-mapping tools such as Google Maps use the Shortest Path algorithm, or a close variant, to provide driving directions. Finding the degrees of separation between people in social networks. For example, when you view someone’s profile on LinkedIn, it will indicate how many people separate ...
This implicitly maps each graph to some feature space. Clustering: Apply a clustering algorithm like k-means on the similarity matrix to group similar graphs together. Evaluation: Check the clustering quality using metrics like accuracy.Using graph kernels for clustering has the advantage of jointly ...
A. Neuronal morphology goes digital: a research hub for cellular and system neuroscience. Neuron 77, 1017–1038 (2013). Article CAS PubMed PubMed Central Google Scholar Capowski, J. J. An automatic neuron reconstruction system. J. Neurosci. Methods 8, 353–364 (1983). Article CAS PubMed...
They generally employ an evolutionary-like or swarm-based strategy to search for an optimum by first randomly generating a set of candidate solutions of given size n. Depending on the particular swarm-based algorithm, candidate solutions are called agents or particles. These algorithms have tuning ...