Abstract: With the increase of sequence information, many methods have been used in detecting sequence similarities. In order to avoid the shortcomings of the traditional method based on sequences ...
Each image is treated as a 784-dimensional vector (28×28 flattened). We compress this into a smaller latent space, then reconstruct and evaluate performance. PCA was applied using sklearn. Principal ...
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