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Rainfall forecasting models using focused time-delay neural networks
TLDR
We design, implement and compare rainfall forecasting models using Focused Time-Delay Neural Networks (FTDNN). Expand
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Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes
TLDR
We propose a novel algorithm to automatically adapt a generic pedestrian detector to specific scenes which may possess different data distributions than the original dataset from which the detector was trained. Expand
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Comparison of supervised and unsupervised learning classifiers for human posture recognition
TLDR
Human posture recognition is gaining increasing attention in the fields of artificial intelligence and computer vision due to its promising applications in the areas of personal health care, environmental awareness, human-computer-interaction and surveillance systems. Expand
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Human activity recognition for video surveillance using sequences of postures
TLDR
This paper presents a part of a novel a Human posture recognition system for video surveillance using one static camera. Expand
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Automated daily human activity recognition for video surveillance using neural network
TLDR
In this paper, an intelligent human activity system recognition is developed based on the human activities features database, which was extracted from the frame sequences. Expand
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Adapting pedestrian detectors to new domains: A comprehensive review
TLDR
We survey the state-of-the-art results for domain adaptation for image and video data, with a particular focus on pedestrian detection. Expand
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Unsupervised Detector Adaptation by Joint Dataset Feature Learning
TLDR
In this paper, we propose a novel algorithm to automatically adapt a pedestrian detector trained on a generic image dataset to a video in an unsupervised way using joint dataset deep feature learning. Expand
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Forests of unstable hierarchical clusters for pattern classification
TLDR
We propose a novel ensemble classifier that consists of a diverse group of hierarchical clusterings on data that outperforms existing decision tree ensemble techniques. Expand
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Weakly supervised pedestrian detector training by unsupervised prior learning and cue fusion in videos
TLDR
We propose a novel weakly supervised algorithm to train a pedestrian detector that only requires annotations of estimated centers of pedestrians instead of bounding boxes. Expand
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Harris corner detector and blob analysis featuers in human activty recognetion
TLDR
The automated detection and monitoring of human activities have gained increased attention in the last decade due to many video applications. Expand
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