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Found 6 papers, 0 papers with code
A Human Action Descriptor Based on Motion Coordination
The second step enriches the descriptor considering minimum and maximum joint velocities and the correlations between the most informative joints.
A Preliminary Study on the Learning Informativeness of Data Subsets
We prove the concept on human-written texts, and conjecture this work will reduce training data size of sequential instructions, while preserving semantic relations, when gathering information from large remote sources.
Towards Predicting First Daily Departure Times: a Gaussian Modeling Approach for Load Shift Forecasting
We provide a review of the relevant state-of-the-art driving behavior features towards FDDT prediction, to then propose an approximated Gaussian method which qualitatively forecasts how many vehicles will depart within a given time frame, by assuming that departure times follow a normal distribution.
Towards Learning Object Affordance Priors from Technical Texts
Everyday activities performed by artificial assistants can potentially be executed naively and dangerously given their lack of common sense knowledge.
Towards Structural Natural Language Formalization: Mapping Discourse to Controlled Natural Language
The author describes a conceptual study towards mapping grounded natural language discourse representation structures to instances of controlled language statements.
