Abstract: We present an unsupervised visual feature learning algorithm driven by context-based pixel prediction. By analogy with auto-encoders, we propose Context Encoders - a convolutional neural ...
A rare Roman-era metalworking device uncovered during railway excavations in the Czech Republic is offering new insight into ...
Abstract: Audio pattern recognition is an important research topic in the machine learning area, and includes several tasks such as audio tagging, acoustic scene classification, music classification, ...
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