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Found 2 papers, 1 papers with code
Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection
Deep Convolutional Neural Networks (DCNNs) achieve invariance to domain transformations (deformations) by using multiple 'max-pooling' (MP) layers.
Estimation of Simultaneously Sparse and Low Rank Matrices
The paper introduces a penalized matrix estimation procedure aiming at solutions which are sparse and low-rank at the same time.
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