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Found 2 papers, 1 papers with code
Only sparsity based loss function for learning representations
Further, the same loss function can also be used as a cost function for an unsupervised single-layered neural network model for learning efficient representations.
Learning to encode motion using spatio-temporal synchrony
To this end, we show that the detection of spatial transformations can be viewed as the detection of synchrony between the image sequence and a sequence of features undergoing the motion we wish to detect.
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