去世
发表于 2025-3-25 04:30:11
Jean-Paul Laumond,Mehdi Benallegue,Justin Carpentier,Alain Berthozthe more fundamental social skills (e.g., eye gaze, joint attention, imitation, gestures, etc.) can be developed and encouraged..The diagnosis of ASD, especially high-functioning (i.e., with no intellectual disabilities) type, in early stages, is very strenuous. Therefore, there is a critical need f
Humble
发表于 2025-3-25 10:14:16
Cenk Oguz Saglam,Katie Bylre particularly sensitive to social comparison. Perceived threats to self-worth activate dysfunctional social comparison processes, such as failing to discount the superior performance of others advantaged on related attributes (see Chapters 2 and 3, this volume), and hence make an inordinate number
长矛
发表于 2025-3-25 13:01:42
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HARD
发表于 2025-3-25 18:18:44
Avik De,Daniel E. Koditschekhimself by his comrades” (., p. 21). Even the seemingly objective test of battle is confounded by social comparisons. In an early battle, Fleming panics and runs, but it is the sight of other soldiers turning tail first that induces his behavior, creating in social comparison terms a form of social
出血
发表于 2025-3-25 21:29:32
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Keratectomy
发表于 2025-3-26 03:21:19
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Constitution
发表于 2025-3-26 06:21:20
Deep Feature Learning for Acoustics-Based Terrain Classificationures by achieving state of the art performance. Additional experiments reveal the robustness of the network in situations corrupted with varying amounts of white Gaussian noise and that fine-tuning with noise-augmented samples significantly boosts the classification rate. Furthermore, we demonstrate
Original
发表于 2025-3-26 11:10:07
Inverse KKT – Learning Cost Functions of Manipulation Tasks from Demonstrationsenarios that include the interaction with objects and therefore the realization of contacts/constraints within the motion. We demonstrate the approach on tasks such as sliding a box and opening a door.
colloquial
发表于 2025-3-26 14:30:31
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GLIB
发表于 2025-3-26 17:27:54
Transition State Clustering: Unsupervised Surgical Trajectory Segmentation for Robot Learning. TSC uses a hierarchical Dirichlet Process Gaussian Mixture Model to avoid having to select the number of segments .. After a series of merging and pruning steps, the algorithm adaptively optimizes the number of segments. In a synthetic case study with two linear dynamical regimes, where demonstrat