Learning Hierarchical Features for Scene Labeling
Scene labeling consists of labeling each pixel in an image with the category of the object it belongs to. We propose a method that uses a multiscale convolutional network traine...
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Scene labeling consists of labeling each pixel in an image with the category of the object it belongs to. We propose a method that uses a multiscale convolutional network traine...
We call methods for achieving high-resolution enlargements of pixel-based images super-resolution algorithms. Many applications in graphics or image processing could benefit fro...
Abstract Motivation: Protein homology detection and sequence alignment are at the basis of protein structure prediction, function prediction and evolution. Results: We have gene...
Dialogue On Origins Qualitative Research - Janice M Morse Fact or Fantasy? Dialogue On Learning Qualitative Methods Abstract Knowing - Katharyn A May The Case for Magic in Metho...
The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems ---a personalized information filtering technology u...
The repeatability and efficiency of a corner detector determines how likely it is to be useful in a real-world application. The repeatability is important because the same scene...
Does finance affect economic growth?A number of studies have identified a positive correlation between the level of development of a country's financial sector and the rate of g...
This paper describes NETtalk, a class of massively-parallel network systems that learn to convert English text to speech. The memory representations for pronunciations are learn...
Epithelium is the tissue phenotype of early embryos and primitive adults of the chordate phylum. A second tissue type, however, is produced by epithelial-mesenchymal transformat...
A new robust matching method is proposed. The progressive sample consensus (PROSAC) algorithm exploits the linear ordering defined on the set of correspondences by a similarity ...