Machine lipreading is a special type of automatic speech recognition (ASR) which
transcribes human speech by visually interpreting the movement of related face regions …

Ridge regression is widely used in multiple variable data analysis. However, in very high-
dimensional cases such as image feature extraction and recognition, conventional ridge …

A projection learning space is an approach to mapping a high-dimensional vector space to a
lower dimensional vector space. In this paper, we proposed an algorithm, namely, AOS: Akin …

Event correlation is an important component in business performance management. Simple
rule-based event correlation engines, like Zurich Correlation Engine (ZCE), usually accept …

Neighborhood preserving embedding (NPE) is a classical and very promising supervised
dimensional reduction (DR) technique based on a linear graph, which preserves the local …

We propose new appearance-based face recognition methods based on global-local
structure-preserving partial least squares discriminant analysis. Two variants of the method …

Marginal Fisher analysis (MFA) maintains the nearest neighbor structure according to the
class information of samples, so it achieves good recognition results for image recognition …

How to effectively reduce the dimensionality of high-dimensional and massive
unconstrained face data is important. In this paper, the Weighted Tensor Sparse Graph …

Facial recognition is a challenging research in the field of image processing and computer
vision, especially for security systems, weight determiner, and emotional determination …

We proposes a multiple fractal dimensions (MFD) method for robust object description. MFD
is an effective feature extraction approach, which is first calculated based on a phase angle …