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Found 3 papers, 1 papers with code
Quadruplet Selection Methods for Deep Embedding Learning
Recognition of objects with subtle differences has been used in many practical applications, such as car model recognition and maritime vessel identification.
Semantic Structure and Interpretability of Word Embeddings
Dense word embeddings, which encode semantic meanings of words to low dimensional vector spaces have become very popular in natural language processing (NLP) research due to their state-of-the-art performances in many NLP tasks.
Statistically Segregated k-Space Sampling for Accelerating Multiple-Acquisition MRI
To address this problem, a statistically-segregated sampling method is proposed for multiple-acquisition MRI.
Image and Video Processing
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