This paper gives an overview of automatic speaker recognition technology, with an
emphasis on text-independent recognition. Speaker recognition has been studied actively …

This paper describes our approach towards robust facial expression recognition (FER) for
the third Emotion Recognition in the Wild (EmotiW2015) challenge. We train multiple deep …

We present a pattern recognition framework to improve committee machines of deep
convolutional neural networks (deep CNNs) and its application to static facial expression …

Front-end or feature extractor is the first component in an automatic speaker recognition
system. Feature extraction transforms the raw speech signal into a compact but effective …

Multibiometric systems are gaining popularity because they are able to overcome limitations
such as non-universality, noisy sensor data and susceptibility to spoof attacks common in …

Jitter and shimmer are measures of the fundamental frequency and amplitude cycle-to-cycle
variations, respectively. Both features have been largely used for the description of …

This paper aims to contribute to the field of human gait pattern recognition by providing a
solution based on the computational theory of perceptions. Our model differs significantly …

Automated currency validation requires a decision to be made regarding the authenticity of a
banknote presented to the validation system. This decision often has to be made with little or …

The approach presented in this paper represents voice recordings by a novel acoustic key
composed only of binary values. Except for the process being used to extract such keys …

In this paper, architectures and methods of decision aggregation in classifier ensembles are
investigated. Typically, ensembles are designed in such a way that each classifier is trained …