Communication has been an essential part of being human and living in society. There are
several different languages and variations of them, so you can speak English in one place …

With the advent of efficient recognition techniques, animal biometric systems have gained
more proliferation for the identification and monitoring of cattle. A cattle biometric system is a …

Dimension reduction is a critical technology for high-dimensional data processing, where
Linear Discriminant Analysis (LDA) and its variants are effective supervised methods …

Fisher's linear discriminant analysis (LDA) is an easy-to-use supervised dimensionality
reduction method. However, LDA may be ineffective against complicated class distributions …

Graph embedding is a very useful dimensionality reduction technique in pattern recognition.
In this paper, we develop a novel discriminative dimensionality reduction technique entitled …

In this paper, we combine Hidden Markov Models (HMMs) with i-vector extractors to address
the problem of text-dependent speaker recognition with random digit strings. We employ …

Bimodal objects, such as the checkerboard pattern used in camera calibration, markers for
object tracking, and text on road signs, to name a few, are prevalent in our daily lives and …

Degraded signal quality and incomplete voice probes have severe effects on the
performance of a speaker recognition system. Unified audio characteristics (UACs) have …

A linear predictive spectral estimation method based on higher-lag autocorrelation
coefficients is proposed for the noise-robust feature extraction from speech. The method …

This article presents an automated algorithm which combines ranking method with
generalized discriminant analysis (GDA) and1-norm extreme learning machine (1-NELM) to …