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    Feature modeling using polynomial classifiers and stepwise regression 

    Shanableh, Tamer; Assaleh, Khaled (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 ...
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    Continuous Arabic Sign Language Recognition in User Dependent Mode 

    Assaleh, Khaled; Shanableh, Tamer; Fanaswala, Mustafa; Amin, F.; Bajaj, H. (Scientific Research, 2010)
    Arabic Sign Language recognition is an emerging field of research. Previous attempts at automatic visionbased recognition of Arabic Sign Language mainly focused on finger spelling and recognizing isolated gestures. In this ...

    Multiple Proposals for Continuous Arabic Sign Language Recognition 

    Hassan, Mohamed; Assaleh, Khaled; Shanableh, Tamer (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 ...
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    H.264/AVC Motion Vector Concealment Solutions Using Online and Offline Polynomial Regression 

    Shanableh, Tamer; Assaleh, Khaled (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 ...
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    Robust Polynomial Classifier Using L1-norm minimization 

    Assaleh, Khaled; Shanableh, Tamer (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 ...
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    User-independent recognition of Arabic sign language for facilitating communication with the deaf community 

    Shanableh, Tamer; Assaleh, Khaled (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 ...
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    Decision-level fusion for single-view gait recognition with various carrying and clothing conditions 

    Al-Tayyan, Amer; Assaleh, Khaled; Shanableh, Tamer (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 ...
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    Glove-Based Continuous Arabic Sign Language Recognition in User-Dependent Mode 

    Tubaiz, Noor Ali; Shanableh, Tamer; Assaleh, Khaled (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 ...

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    Author
    Assaleh, Khaled (8)
    Shanableh, Tamer (8)
    Al-Tayyan, Amer (1)Amin, F. (1)Bajaj, H. (1)Fanaswala, Mustafa (1)Hassan, Mohamed (1)Tubaiz, Noor Ali (1)SubjectPattern classification (4)Feature extraction (3)Image/video processing (2)Motion analysis (2)Pattern recognition (2)Polynomial classifier (2)Sign language recognition (2)Accumulated flow image (1)Accumulated prediction image (1)Arabic sign language recognition (1)... View MoreDate Issued2010 (3)2015 (2)2011 (1)2017 (1)2019 (1)Has File(s)
    Yes (8)

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