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Unified Backpropagation for Multi-Objective Deep Learning
A common practice in most of deep convolutional neural architectures is to employ fully-connected layers followed by Softmax activation to minimize cross-entropy loss for the sake of classification.
Distributed Deep Transfer Learning by Basic Probability Assignment
The reconstruction of the original wiring for the target domain is a heavy burden due to the size of interconnections across neurons.
Multipartite Pooling for Deep Convolutional Neural Networks
We propose a novel pooling strategy that learns how to adaptively rank deep convolutional features for selecting more informative representations.
Multipartite Ranking-Selection of Low-Dimensional Instances by Supervised Projection to High-Dimensional Space
Pruning of redundant or irrelevant instances of data is a key to every successful solution for pattern recognition.
