Results 251 to 260 of about 8,233,255 (298)

Classification Via Simplicial Learning

2020 IEEE International Conference on Image Processing (ICIP), 2020
Dictionary learning for sparse representations is generative in nature, hence discriminative modifications are commonly observed for classification problems. Classical dictionary learning bears a fundamental problem of not being capable of distinguishing two different classes lying on the same subspace, that cannot be resolved by any discriminative ...
Yigit Oktar, Mehmet Türkan
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Sequence Classification via LCS

2022
Computing a longest common subsequence of two given sequences is a fundamental problem in several fields of computer science. While there exist dynamic programming algorithms that can solve the problem in polynomial-time, their running time is considered too high for some practical applications.
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Classification via regularization on graphs

2013 IEEE Global Conference on Signal and Information Processing, 2013
We present a novel data classifier that is based on the regularization of graph signals. Our approach is based on the theory of discrete signal processing on graphs where the graph represents similarities between data and we interpret labels for the dataset elements as a signal indexed by the nodes of the graph. We postulate that true labels form a low-
Aliaksei Sandryhaila, José M. F. Moura
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