Storing and communicating secret and/or private information has become part of our daily
life whether it is for our employment or personal well-being. Therefore, secure storage and …

Pedestrian detection and tracking have become an important field in the computer vision
research area. This growing interest, started in the last decades, might be explained by the …

Local binary patterns (LBP) are considered among the most computationally efficient high-
performance texture features. However, the LBP method is very sensitive to image noise and …

Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …

Fractional calculus is an abstract idea exploring interpretations of differentiation having non-
integer order. For a very long time, it was considered as a topic of mere theoretical interest …

The bandwidth of the communication networks has been increased continuously as results
of technological advances. However, the introduction of new services and the expansion of …

Over past few decades, swarm intelligent algorithms based on the intelligent behaviors of
social creatures have been extensively studied and applied for all kinds of optimization …

Video steganography is becoming an important research area in various data hiding
technologies, which has become a promising tool because not only the security requirement …

Twin support vector regression (TSVR) is a useful extension of traditional support vector
regression (SVR). As a new regression model, the basic idea of TSVR is generating a pair of …

We present a method for learning discriminative filters using a shallow Convolutional Neural
Network (CNN). We encode rotation invariance directly in the model by tying the weights of …