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Image Classification using Combination of Topological Features and Neural Networks
In this work we use the persistent homology method, a technique in topological data analysis (TDA), to extract essential topological features from the data space and combine them with deep learning features for classification tasks.
Combining recurrent and residual learning for deforestation monitoring using multitemporal SAR images
With its vast expanse, exceeding that of Western Europe by twice, the Amazon rainforest stands as the largest forest of the Earth, holding immense importance in global climate regulation.
Fourier Analysis and q-Gaussian Functions: Analytical and Numerical Results
It is a consensus in signal processing that the Gaussian kernel and its partial derivatives enable the development of robust algorithms for feature detection.
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