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Information Bottleneck-Enhanced Reinforcement Learning for Solving Operation Research Problems. [PDF]

Sensors (Basel)
Xi R, Ni Y, Wu W.
europepmc   +1 more source

5 Action-Guiding Representations

, 2020
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Phenomenal interface theory: a model for basal consciousness. [PDF]

Philos Trans R Soc Lond B Biol Sci
Klein C, Barron AB.
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Toward Generalized Emotion Recognition in VR by Bridging Natural and Acted Facial Expressions. [PDF]

Sensors (Basel)
Rahman RR, Choi HY, Lim J, Lee GE, Lee S, Cho C, Damevski K.   +6 more
europepmc   +1 more source

Cognitive linguistics approach to the representation of knowledge contents in college English textbooks. [PDF]

Front Psychol
Zhang L, Mo Z.
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Object representations for action

, 2016
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Learning Semantic-Aligned Action Representation

IEEE Transactions on Neural Networks and Learning Systems, 2018
A fundamental bottleneck for achieving highly discriminative action representation is that local motion/appearance features are usually not semantic aligned. Namely, a local feature, such as a motion vector or motion trajectory, does not possess any attribute that indicates which moving body part or operated object it is associated with.
Bingbing Ni, Teng Li, Xiaokang Yang
openaire   +3 more sources