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díA DEL MAESTRO 1º
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Adriana Rodriguez
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MHD Osama Sharouf44
MHD Osama Sharouf44
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Auto face annotation is an important role for many real-world multimedia applications. Recently search based face annotation paradigm is one of the research challenge in computer vision and image analysis. In this paper, we present the problem is to annotate the most weakly labeled facial images are duplicate names, noisy and incomplete. To handle this problem we used an effective semi-automatic annotation methodology with unsupervised label refinement (ULR) approach for refining the labels in facial images by using some machine learning techniques and fuzzy clustering-based approximation algorithm is used to improve the scalability considerably. Finally to develop an optimization algorithm for solving a large scale learning task. The result of this proposed ULR algorithm can improve the performance than other ULR algorithms in weak label matrix.
A Novel Approach of Fuzzy Based Semi-Automatic Annotation for Similar Facial ...
A Novel Approach of Fuzzy Based Semi-Automatic Annotation for Similar Facial ...
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One of the few things that help counter the declining organic reach on Facebook is the engaged fan base. But how do you acquire that engaged fan base? This presentation was made for Visibility and Conversions client, Visit Tucson, whose social media I managed in 2014-15. Visit Tucson won the "Post with the Most" contest at E-Tourism Summit 2014. Their winning post had the most organic reach (when compared to the audience size) among all entrants. I was invited to make a presentation on the factors that helped Visit Tucson gain followers who engaged with its posts.
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MHD Osama Sharouf44
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veraa08
Auto face annotation is an important role for many real-world multimedia applications. Recently search based face annotation paradigm is one of the research challenge in computer vision and image analysis. In this paper, we present the problem is to annotate the most weakly labeled facial images are duplicate names, noisy and incomplete. To handle this problem we used an effective semi-automatic annotation methodology with unsupervised label refinement (ULR) approach for refining the labels in facial images by using some machine learning techniques and fuzzy clustering-based approximation algorithm is used to improve the scalability considerably. Finally to develop an optimization algorithm for solving a large scale learning task. The result of this proposed ULR algorithm can improve the performance than other ULR algorithms in weak label matrix.
A Novel Approach of Fuzzy Based Semi-Automatic Annotation for Similar Facial ...
A Novel Approach of Fuzzy Based Semi-Automatic Annotation for Similar Facial ...
ijsrd.com
One of the few things that help counter the declining organic reach on Facebook is the engaged fan base. But how do you acquire that engaged fan base? This presentation was made for Visibility and Conversions client, Visit Tucson, whose social media I managed in 2014-15. Visit Tucson won the "Post with the Most" contest at E-Tourism Summit 2014. Their winning post had the most organic reach (when compared to the audience size) among all entrants. I was invited to make a presentation on the factors that helped Visit Tucson gain followers who engaged with its posts.
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1º Prepara el regalito para el Día de la Familia
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Visita al Museo de Hombre : 4to Grado
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