Real time project !!"Efficient Search Based Face Annotation"

"We propose a novel unsupervised label refinement (URL) scheme by exploring
machine learning techniques to enhance the
labels purely from the weakly labeled data without human manual efforts. We
also propose a clustering-based approximation
(CBA) algorithm to improve the efficiency and scalability. As a summary, the
main contributions of this paper
include the following:
1. We investigate and implement a promising search based face annotation
scheme by mining large amount of weakly labeled facial images freely available
on the WWW.
2. We propose a novel ULR scheme for enhancing label quality via a graphbased
and low rank learning approach.
3. We propose an efficient clustering-based approximation algorithm for largescale
label refinement problem.
4. We conducted an extensive set of experiments, in which encouraging results
were obtained."www.fu-vision .com
www.fu- craft.com
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contact for more information: 9003206648