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Materias / palabras clave: Boundary layer; Meteorology; Planetary boundary layer; Turbulence; Layer (electronics); Boundary (topology); Flow (mathematics); Environmental science; Computer science; Physics; Mechanics; Mathematics

A training algorithm that maximizes the margin between the training patterns and the decision boundary is presented. The technique is applicable to a wide variety of the classification functions, including Perceptrons, p...

In this work, we revisit the global average pooling layer proposed in [13], and shed light on how it explicitly enables the convolutional neural network (CNN) to have remarkable localization ability despite being trained...

We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask fo...