Ara
Toplam kayıt 32, listelenen: 21-30
Extension of conventional co-training learning strategies to three-view and committee-based learning strategies for effective automatic sentence segmentation
(IEEE, 2018)
The objective of this work is to develop effective multi-view semi-supervised machine learning strategies for sentence boundary classification problem when only small sets of sentence boundary labeled data are available. ...
Compression of the biomedical images using quadtree-based partitioned universally classified energy and pattern blocks
(Springer London, 2019-03-15)
In this work, an efficient low bit rate image coding/compression method based on the quadtree-based partitioned universally classified energy and pattern building blocks (QB-UCEPB) is introduced. The proposed method combines ...
Biometric identification using fingertip electrocardiogram signals
(Springer London Ltd, 2018-07)
In this research work, we present a newly fingertip electrocardiogram (ECG) data acquisition device capable of recording the lead-1 ECG signal through the right- and left-hand thumb fingers. The proposed device is ...
A New speech coding algorithm using zero cross and phoneme based SYMPES
(IEEE, 2013-07-11)
In this work, a new low bit rate hybrid speech coding approach which combines the benefits of the SYMPES (Systematic Procedure for Predefined Envelope and Signature Sequences) and zero cross and phoneme based segmentation ...
EEG signal compression based on classified signature and envelope vector sets
(IEEE Computer Society, 2007)
In this paper, a novel method to compress ElectroEncephaloGram (EEG) Signal is proposed. The proposed method is based on the generation Classified Signature and Envelope Vector Sets (CSEVS) by using an effective k-means ...
A novel method to represent the speech signals by using language and speaker independent predefined functions sets
(IEEE, 2004)
In this paper a new modeling method of speech signals is introduced. The proposed method is based on the generation of the so-called Predefined Signature S={s(R)(t)} and Envelope Function E = {e(K)(t)} Sets (PSEFS). These ...
A novel biometric identification system based on fingertip electrocardiogram and speech signals
(Elsevier Inc., 2022-03)
In this research work, we propose a one-dimensional Convolutional Neural Network (CNN) based biometric identification system that combines speech and ECG modalities. The aim is to find an effective identification strategy ...
Effective semi-supervised learning strategies for automatic sentence segmentation
(Elsevier Science BV, 2018-04-01)
The primary objective of sentence segmentation process is to determine the sentence boundaries of a stream of words output by the automatic speech recognizers. Statistical methods developed for sentence segmentation requires ...
A new coding method for speech and audio signals
(IEEE, 2005)
In this paper a new representation or modeling method of speech signals is introduced. The proposed method is based on the generation of the so-called Predefined Signature S={S R } and Envelope vector E={E K } Sets (PSEVS). ...
A novel image compression method based on classified energy and pattern blocks: initial results
(Springer, 2010)
In this work, a new method for the compression of the images based on the generation of the so called classified energy and pattern blocks is introduced and the initial results are presented. The initials results proved ...