The rising demand for high security and reliable authentication schemes, led to the
development of the unimodal biometric system so that the multimodal biometric system has …

Deep learning models are widely used in daily life, which bring great convenience to our
lives, but they are vulnerable to attacks. How to build an attack system with strong …

Multi-task learning plays an important role in face multi-attribute prediction. At present, most
researches excavate the shared information between attributes by sharing all convolutional …

Dropout is an important training method for deep neural networks, because it can help avoid
over-fitting. Traditional dropout methods and many extended dropout methods, omit some of …

Although age estimation is easily affected by smiling, race, gender, and other age-related
attributes, most of the researchers did not pay attention to the correlations among these …

Recently, density-based clustering algorithms have been garnering considerable attention
in the unsupervised learning field as they can identify arbitrary cluster shapes. However …

As one of the prevalent topic mining methods, neural topic modeling has attracted a lot of
interests due to the advantages of low training costs and strong generalisation abilities …

Free-space detection is considered as one of the most important tasks in intelligent vehicle,
which remains the essential requirement for obstacle detection and path planning. As a part …

In modern era, the graphical information is presented in the form of web images. As the
dependency of human beings on web information is increasing day-by-day, so the …

Self-driving cars, believed to be on track to become a seven trillion-dollar industry by 2050,
are likely to be a popular mode of transportation in the near future, as the technology …