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Algorithm
Linearized Kernel Dictionary Learning
2016
In this paper we present a new approach of incorporating kernels into\ndictionary learning. The kernel K-SVD algorithm (KKSVD), which has been\nintroduced recently, shows an improvement in classification performance, with\nrelation to its linear counterpart K…
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Algorithm

Sequence of operations for a task

In mathematics and computer science, an algorithm ( ) is a finite sequence of mathematically rigorous instructions, typically used to solve a class of specific problems or to perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can use conditionals to divert the code execution through various routes (referred to as automated decision-making) and deduce valid inferences (referred to as automated reasoning).

In contrast, a heuristic is an approach to solving problems without well- defined correct or optimal results. For example, although social media recommender systems are commonly called "algorithms", they actually rely on heuristics as there is no truly "correct" recommendation.

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Linearized Kernel Dictionary Learning
2016
In this paper we present a new approach of incorporating kernels into\ndictionary learning. The kernel K-SVD algorithm (KKSVD), which has been\nintroduced recently, shows an improvement in classification performance, with\nrelation to its linear counterpart K-SVD. However, this algorithm requires the\nstorage and handling of a very large kernel matrix, which leads to high\ncomputational cost, while also limiting its use to setups with small number of\ntraining examples. We address these problems by combining two i…
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