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Robust Polynomial Classifier Using L1-norm minimization
(Springer, 2010)
In this paper we present a robust polynomial classifier based on L1-norm minimization. We do so by reformulating the classifier training process as a linear programming problem. Due to the inherent insensitivity of the ...
Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language
(IEEE, 2007)
This paper presents various spatio-temporal feature-extraction techniques with applications to online and offline recognitions of isolated Arabic Sign Language gestures. The temporal features of a video-based gesture are ...
Glove-Based Continuous Arabic Sign Language Recognition in User-Dependent Mode
(IEEE, 2015)
In this paper we propose a glove-based Arabic sign language recognition system using a novel technique for sequential data classification. We compile a sensor-based dataset of 40 sentences using an 80-word lexicon. In the ...
Feature modeling using polynomial classifiers and stepwise regression
(Elsevier, 2010)
In polynomial networks, feature vectors are mapped to a higher dimensional space through a polynomial function. The expanded vectors are then passed to a single layer network to compute the model parameters. However, as ...
Telescopic Vector Composition and Polar Accumulated Motion Residuals for Feature Extraction in Arabic Sign Language Recognition
(Springer, 2007)
This work introduces two novel approaches for feature extraction applied to video-based Arabic sign language recognition, namely, motion representation through motion estimation and motion representation through motion ...
Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition
(Springer, 2015)
This paper proposes a novel approach to continuous Arabic Sign Language recognition. We use a dataset which contains 40 sentences composed from 80 sign language words. The dataset is collected using sensor-based gloves. ...
Multiple Proposals for Continuous Arabic Sign Language Recognition
(Springer, 2019)
The deaf community relies on sign language as the primary means of communication. For the millions of people around the world who suffer from hearing loss, interaction with hearing people is quite difficult. The main ...
User-independent recognition of Arabic sign language for facilitating communication with the deaf community
(Elsevier, 2011)
This paper presents a solution for user-independent recognition of isolated Arabic Sign language gestures. The video based gestures are preprocessed to segment out the hands of the signer based on color segmentation of the ...
H.264/AVC Motion Vector Concealment Solutions Using Online and Offline Polynomial Regression
(Springer, 2015)
This paper introduces two polynomial regression solutions for error concealment by predicting the values of motion vectors of lost macroblocks. The two solutions are online and offline polynomial regression modeling. In ...
Decision-level fusion for single-view gait recognition with various carrying and clothing conditions
(Elsevier, 2017)
Gait Recognition is one of the latest and attractive biometric techniques, due to its potential in identification of individuals at a distance, unobtrusively and even using low resolution images. In this paper we focus on ...