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Class Vectors: Embedding representation of Document Classes
Distributed representations of words and paragraphs as semantic embeddings in high dimensional data are used across a number of Natural Language Understanding tasks such as retrieval, translation, and classification.
Learning Multiple Non-linear Sub-spaces Using K-RBMs
In this paper, we describe a feature learning scheme for natural images.
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