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Effective Building Block Design for Deep Convolutional Neural Networks using Search
We apply this technique to generate models for multiple image datasets and show that these models achieve performance comparable to state-of-the-art (and even surpassing the state-of-the-art in one case).
Learning Features and their Transformations by Spatial and Temporal Spherical Clustering
Learning features invariant to arbitrary transformations in the data is a requirement for any recognition system, biological or artificial.
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