Size is the first, and at times, the only dimension that leaps out at the mention of big data.
This paper attempts to offer a broader definition of big data that captures its other unique and …

The capability of recognizing pedestrian attributes, such as gender and clothing style, at far
distance, is of practical interest in far-view surveillance scenarios where face and body close …

In real video surveillance scenarios, visual pedestrian attributes, such as gender, backpack,
clothes types, are very important for pedestrian retrieval and person reidentification. Existing …

Recognizing the pedestrian attributes in surveillance scenes is an inherently challenging
task, especially for the pedestrian images with large pose variations, complex backgrounds …

Different ages are closely related especially among the adjacent ages because aging is a
slow and extremely non-stationary process with much randomness. To explore the …

With increasing availability and use of Internet of Things (IoT) devices such as sensors and
video cameras, large amounts of streaming data is now being produced at high velocity …

Big data analytics (BDA) in e-commerce, which is an emerging field that started in 2006,
deeply affects the development of global e-commerce, especially its layout and performance …

Applying deep learning models to large-scale IoT data is a compute-intensive task and
needs significant computational resources. Existing approaches transfer this big data from …

Some recent work treats age estimation as an ordinal ranking task and decomposes it into
multiple binary classifications. However, a theoretical defect lies in this type of methods: the …

Automatic facial age estimation can be used in a wide range of real-world applications.
However, this process is challenging due to the randomness and slowness of the aging …