SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
Computer vision applications have come to rely increasingly on superpixels in recent years, but it is not always clear what constitutes a good superpixel algorithm. In an effort...
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Computer vision applications have come to rely increasingly on superpixels in recent years, but it is not always clear what constitutes a good superpixel algorithm. In an effort...
Article Share on Item-based collaborative filtering recommendation algorithms Authors: Badrul Sarwar GroupLens Research Group/Army HPC Research Center, Department of Computer Sc...
The evolutionary history of a set of taxa is usually represented by a phylogenetic tree, and this model has greatly facilitated the discussion and testing of hypotheses. However...
Abstract The new edition of this well-established book is thoroughly revised and gives a comprehensive account of the role of free radicals, other reactive species (RS), and ant...
Journal Article THE AGENDA-SETTING FUNCTION OF MASS MEDIA Get access MAXWELL E. McCOMBS, MAXWELL E. McCOMBS associate professor of journalism University of North CarolinaChapel ...
Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist Temporal Classification make it possible to train RN...
A SIMPLEST SYSTEMATICS FOR THE ORGANIZATION OF TURN-TAKING FOR CONVERSATION Harvey SacksEmanuel A. SchegloffGail Jefferson University of California, University of California, Un...