A separable low complexity 2D HMM with application to face recognition
H Othman, T Aboulnasr - IEEE Transactions on Pattern …, 2003 - ieeexplore.ieee.org
In this paper, we propose a novel low-complexity separable but true 2D Hidden Markov
Model (HMM) and its application to the problem of Face Recognition (FR). The proposed …
Model (HMM) and its application to the problem of Face Recognition (FR). The proposed …
HMM-based gesture recognition for eye-swipe typing
M Mifsud, TA Camilleri, KP Camilleri - Biomedical Signal Processing and …, 2023 - Elsevier
Eye-swipe typing requires users to simply look in the vicinity of the keys forming the desired
word, similar to swiping their finger on a touch screen device. This work presents a novel …
word, similar to swiping their finger on a touch screen device. This work presents a novel …
Comparative study of different activation functions for anomalous sound detection
Anomaly detection is of great importance in our modern life as it can be very useful in many
ways such as lowering costs, avoiding potential injuries, and even saving lives. The method …
ways such as lowering costs, avoiding potential injuries, and even saving lives. The method …
Face verification using D-HMM and adaptive K-means clustering
In this paper, we propose a pseudo 2 Dimension Discrete HMM (P2D-DHMM) for face
verification. Each face image is scanned for frontal face in two ways. One way from top to …
verification. Each face image is scanned for frontal face in two ways. One way from top to …
Planar multi-classifier modelling-NN/NN for face recognition
I Abroug, NEB Amara - … Multi-Conference on Systems, Signals & …, 2015 - ieeexplore.ieee.org
In this paper we present an approach of face recognition by using a planar multi-classifier
modelling based on neural networks. Each class of the database has been modelled by a …
modelling based on neural networks. Each class of the database has been modelled by a …
[PDF][PDF] Selection of the Salient Person using Common Components-Based Hidden Markov Model
D Uwamahoro, BJ You, MH Jeong - researchgate.net
Selection of the Salient Person using Common Components-Based Hidden Markov Model
Page 1 Selection of the Salient Person using Common Components-Based Hidden Markov …
Page 1 Selection of the Salient Person using Common Components-Based Hidden Markov …
Attentive person selection for human-robot interaction
DR Uwamahoro, MH Jeong, BJ You, JE Ha… - Intelligent Computing in …, 2006 - Springer
We present a method that enables the robot to select the most attentive person into
communication from multiple persons, and gives its attention to the selected person. Our …
communication from multiple persons, and gives its attention to the selected person. Our …
[引用][C] Face Verification Using Improved One-dimensional Hidden Markov Model
SH NADERI, MM SHAHRAM… - 2003 - THE CSI JOURNAL ON COMPUTER …