In this paper, we report our work on baseball pitch type recognition based on broadcast videos using two-stream inflated 3D convolutional neural network (I3D). To improve the state-of-the-art of research, we developed...
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The concept of affordances appeared in psychology during the late 60s, as an alternative perspective on the visual perception of the environment. More precisely, the term affordances was introduced by J. J. Gibson i...
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The concept of affordances appeared in psychology during the late 60s, as an alternative perspective on the visual perception of the environment. More precisely, the term affordances was introduced by J. J. Gibson in 1966 [items 1)-3) of the Appendix]. Gibson defines the affordances of an object as “what it offers the animal, what it provides or furnishes, either for good or ill.” What the objects afford to the agent are action possibilities that are directly perceived through vision, in a precategorical and subconscious way, without the need to construct a fully detailed model of the world or to perform semantic reasoning or explicit object recognition. Central to Gibson’s theory is the notion that the sensorimotor capabilities of the agent dramatically influence perception: the concept of affordances is “something that refers to both the environment and the animal in a way that no existing term does. It implies the complementarity of the animal and the environment.” Notably, the human ability to perceive affordances emerges gradually during development, and it is the outcome of exploratory and observational learning; as this ability appears, predicting the effects of the actions becomes possible as well, eventually leading to problem solving skills.
We explore the problem of inferring the graph Laplacian of a weighted, undirected network from snapshots of a single or multiple discrete-time consensus dynamics, subject to parameter uncertainty, taking place on the ...
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Aspect-oriented sentiment analysis is used in particular on textual product reviews to identify positive or negative product characteristics. This information is beneficial not only for customers related to purchasing...
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This paper presents a novel mathematical modeling and analysis technique for inductive wireless charging systems. Typically, LC resonance is the most common and basic physical phenomena enabling inductive power transf...
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Traditional modeling for sound propagation in porous media has been done knowing the macroscopic physical parameters intrinsic to the material. Using Bayesian model-based analysis the uncertainties of these parameters...
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An autonomous robot's search strategy is the set of rules that it employs while looking for targets in its environment. Biological systems (e.g., foraging animals) provide useful inspirations for designing optimal...
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Training deep neural networks usually requires a large amount of labeled data to obtain good performance. However, in medical image analysis, obtaining high-quality labels for the data is laborious and expensive, as a...
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