Due to storage and search efficiency, hashing has become significantly prevalent for nearest
neighbor search. Particularly, deep hashing methods have greatly improved the search …

Human action Recognition for unknown views, is a challenging task. We propose a deep
view-invariant human action recognition framework, which is a novel integration of two …

Hashing plays a pivotal role in nearest-neighbor searching for large-scale image retrieval.
Recently, deep learning-based hashing methods have achieved promising performance …

Computer vision techniques capable of detecting human behavior are gaining interest.
Several researchers have provided their review on behavior detection, however most of the …

Traffic congestion is a difficult problem that restricts the construction of urbanization.
Spatiotemporal traffic speed forecasting technologies can provide effective technical support …

As the world′ s largest sport, football has affected a wide area and a large number of
participants and had a great impact on political economy and culture, which has become the …

In the artificial intelligence domain, human action recognition (HAR) has evolved as one of
the major active research topics as a reason of diverse applications, namely video …

Advances in digital technology have increased event recognition capabilities through the
development of devices with high resolution, small physical dimensions and high sampling …

Two of the most important premises of an ensemble are the diversity of its components and
how to combine their votes. In this paper, we propose a multi-stream architecture based on …

Accurate and real-time rainfall forecasting plays an important role in the weather forecast
system and is of great significance for travel planning, engineering planning, and crop …