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27 papers · 1 filter
Tensor Representations for Action Recognition
Piotr Koniusz, Lei Wang, Anoop Cherian
Human actions in video sequences are characterized by the complex interplay between spatial features and their temporal dynamics. In this paper, we propose novel tensor representat…
Stochastic optimal control formalism for an open quantum system
Chungwei Lin, Dries Sels, Yanting Ma +1
A stochastic procedure is developed which allows one to express Pontryagin's maximum principle for dissipative quantum system solely in terms of stochastic wave functions. Time-opt…
Learning on Attribute-Missing Graphs
Xu Chen, Siheng Chen, Jiangchao Yao +3
Graphs with complete node attributes have been widely explored recently. While in practice, there is a graph where attributes of only partial nodes could be available and those of…
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation
Kei Ota, Devesh K. Jha, Diego Romeres +7
Humans quickly solve tasks in novel systems with complex dynamics, without requiring much interaction. While deep reinforcement learning algorithms have achieved tremendous success…
Lake symbols for island parsing
Katsumi Okuda, Shigeru Chiba
Context: An island parser reads an input text and builds the parse (or abstract syntax) tree of only the programming constructs of interest in the text. These constructs are called…
Distributed Coding of Quantized Random Projections
Maxim Goukhshtein, Petros T. Boufounos, Toshiaki Koike-Akino +1
In this paper we propose a new framework for distributed source coding of structured sources, such as sparse signals. Our framework capitalizes on recent advances in the theory of…