Realization of focus Speakers produced words differently in the two focus conditions Acoustic features indicate high word prominence Classification Experiments Discrimination of two focus classes with ~65% correct for individual features (acoustic or visual) Exception f0: 65-83% (depending on speaker) Exception nose features: at chance level Significant AV gain when combining energy and FFT or ...

Combining multiple classi ers is an e ective technique for improving accuracy. There are many general combining algorithms, such as Bagging or Error Correcting Output Coding, that signi cantly improve classi ers like decision trees, rule learners, or neural networks. Unfortunately, many combining methods do not improve the nearest neighbor classi er. In this paper, we present MFS, a combining a...

Combining multiple classiiers is an eeective technique for improving accuracy. There are many general combining algorithms, such as Bagging or Error Correcting Output Coding, that signiicantly improve classiiers like decision trees, rule learners, or neural networks. Unfortunately, many combining methods do not improve the nearest neighbor classiier. In this paper, we present MFS, a combining a...

Nowadays, deep learning and convolutional neural networks (CNNs) have become widespread tools in many biomedical engineering studies. CNN is an end-to-end tool which makes processing procedure integrated, but in some situations, this processing tool requires to be fused with machine learning methods to be more accurate. In this paper, a hybrid approach based on deep features extracted from Wave...

The approach of combining a multitude of audio features and also symbolic features (through transcription of audio to MIDI) for music classification proved useful, as shown previously. We extended the system submitted to MIREX 2008 by including temporal audio features, adding another audio analysis algorithm based on finding templates on music, enhancing the polyphonic audio to MIDI transcripti...

Background: The link prediction issue is one of the most widely used problems in complex network analysis. Link prediction requires knowing the background of previous link connections and combining them with available information. The link prediction local approaches with node structure objectives are fast in case of speed but are not accurate enough. On the other hand, the global link predicti...

This paper describes system level issues encountered in a high performance implementation of a Rijndael encryption core on a memory-slot based reconfigurable computing platform called Pilchard. The Rijndael algorithm was adopted in 2000 by the US National Institute of Standards and Technology (NIST) as the Advanced Encryption Standard (AES). In the implementation of Rijndael, changing the numbe...

We introduce a multiple classifier system that incorporates a global optimization technique based on a Genetic Algorithm for dynamically selecting the set of experts to use in the majority vote approach. The proposed technique is applicable when the experts in the pool provide both the class assigned to the input sample and a measure of the reliability of the this classification. For each sampl...

Cognitive Radio is an innovative technology that allows unlicensed (secondary users) users to opportunistically access channels licensed to other users (primary users). A key procedure in the context of opportunistic access is the spectrum sensing, performed by secondary user to determine whether the channel is idle or busy. However, decisions regarding the channel state can be corrupted by fad...

In a recent paper we predicted the fluid-phase equilibria of n-butane + n-alkane binary mixtures using the statistical associating fluid theory for chain molecules with attractive potentials of variable range (SAFTVR). Now we focus on the methane + n-hexane system, again using the SAFT-VR approach. The methane + n-hexane system exhibits type V phase behavior, in which partial miscibility of the...