Online demand prediction plays an important role in transport network services from
operations, controls to management, and information provision. However, the online …

Gaussian processes (GPs) are very widely used for modeling of unknown functions or
surfaces in applications ranging from regression to classification to spatial processes …

This paper presents a proposed methodology for face recognition based on an information
theory approach to coding and decoding face images. In this paper, we propose a 2D-3D …

We propose extrinsic and intrinsic deep neural network architectures as general frameworks
for deep learning on manifolds. Specifically, extrinsic deep neural networks (eDNNs) …

We propose extrinsic and intrinsic deep neural network architectures as general frameworks
for deep learning on manifolds. Specifically, extrinsic deep neural networks (eDNNs) …

Biometric detection is considered as an important tool for states to use to strengthen the
safety measures. Biometric increases robustness of the biometric system against many …

The goal of this paper is to present a new fuzzy logic-based feature extraction method,
called Fuzzy Generalized Two-Dimensional Fisher's Linear Discriminant (FG-2DFLD) …

The last decade has witnessed an explosion in the development of models, theory and
computational algorithms for``big data''analysis. In particular, distributed inference has …

Using your face to unlock a mobile device is not only an appealing security solution, but also
a desirable or entertaining feature that is comparable with taking selfies. It is convenient …

This paper presents an application of LabVIEW and camera interface which is used for
taking attendance in classroom. The system use a camera which is connected to PC on USB …