منابع مشابه
leave a trace - A People Tracking System Meets Anomaly Detection
Video surveillance always had a negative connotation, among others because of the loss of privacy and because it may not automatically increase public safety. If it was able to detect atypical (i.e. dangerous) situations in real time, autonomously and anonymously, this could change. A prerequisite for this is a reliable automatic detection of possibly dangerous situations from video data. This ...
متن کاملTowards a More Efficient Trace Cache
Abstract— If the trace cache size is not large enough to contain all of the basic blocks of running application, a judicious hit and replacement logic becomes very important. This report proposes a weight-based technique to select the victim line in trace cache for the replacement logic. It also presents a judicious line-fill buffer logic which is found to decrease the redundancy in the trace c...
متن کاملBeliefs about emotional residue: the idea that emotions leave a trace in the physical environment.
Drawing upon the literatures on beliefs about magical contagion and property transmission, we examined people's belief in a novel mechanism of human-to-human contagion, emotional residue. This is the lay belief that people's emotions leave traces in the physical environment, which can later influence others or be sensed by others. Studies 1-4 demonstrated that Indians are more likely than Ameri...
متن کاملNeural Activations during Visual Sequence Learning Leave a Trace in Post-Training Spontaneous EEG
Recent EEG studies have shown that implicit learning involving specific cortical circuits results in an enduring local trace manifested as local changes in spectral power. Here we used a well characterized visual sequence learning task and high density-(hd-)EEG recording to determine whether also declarative learning leaves a post-task, local change in the resting state oscillatory activity in ...
متن کاملLeave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
Deep reinforcement learning algorithms can learn complex behavioral skills, but real-world application of these methods requires a large amount of experience to be collected by the agent. In practical settings, such as robotics, this involves repeatedly attempting a task, resetting the environment between each attempt. However, not all tasks are easily or automatically reversible. In practice, ...
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ژورنال
عنوان ژورنال: Journal of Outdoor Recreation, Education, and Leadership
سال: 2018
ISSN: 1948-5123
DOI: 10.18666/jorel-2018-v10-i3-8444