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EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning

Deep transfer learning techniques try to tackle the limitations of deep ...

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Video Contents Understanding using Deep Neural Networks

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Stereotype-Free Classification of Fictitious Faces

Equal Opportunity and Fairness are receiving increasing attention in art...

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Mining Massive Hierarchical Data Using a Scalable Probabilistic Graphical Model

Probabilistic Graphical Models (PGM) are very useful in the fields of ma...

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GELATO and SAGE: An Integrated Framework for MS Annotation

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PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems

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