Fault diagnosis of complex industrial processes becomes a challenging task due to various
fault patterns in sensor signals and complex interactions between different units. However …

Most face databases have been created under controlled conditions to facilitate the study of
specific parameters on the face recognition problem. These parameters include such …

We consider the problem of automatically recognizing human faces from frontal views with
varying expression and illumination, as well as occlusion and disguise. We cast the …

This paper studies the influence of demographics on the performance of face recognition
algorithms. The recognition accuracies of six different face recognition algorithms (three …

Witten and Frank's textbook was one of two books that 1 used for a data mining class in the
Fall of 2001. The book covers all major methods of data mining that produce a knowledge …

As one of the most successful applications of image analysis and understanding, face
recognition has recently received significant attention, especially during the past several …

We present a method for training a similarity metric from data. The method can be used for
recognition or verification applications where the number of categories is very large and not …

This paper proposes a hybrid convolutional network (ConvNet)-Restricted Boltzmann
Machine (RBM) model for face verification in wild conditions. A key contribution of this work …

In this paper, we present a novel approach of face identification by formulating the pattern
recognition problem in terms of linear regression. Using a fundamental concept that patterns …

Many problems in information processing involve some form of dimensionality reduction. In
this paper, we introduce Locality Preserving Projections (LPP). These are linear projective …