Phd Thesis Pattern Recognition

Phd Thesis Pattern Recognition-72
Although it has demonstrated cutting-edge performance widely in computer vision, and particularly in object recognition and detection, deep learning is yet to find its way into other research areas.

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Only English language versions of the thesis will be accepted.

Nomination Process The deadline for nomination is 8th December, 2018.

A screening committee will shortlist theses from among the nominations.

Shortlisted dissertations will be reviewed for technical depth and significance of the research contribution, potential impact on theory and practice, and quality of presentation by an award committee.

Each nomination should be forwarded by the thesis advisor (not the student).

Nomination should be one zipped file from the thesis advisor, which should include (all information will be kept strictly confidential): Important Dates Submission deadline: 8th December 2018 Review Process The nomination letter, list of publications and summary of the thesis will be used in initial screening phase to shortlist dissertation for subsequent in-depth evaluation.

The decision of the committee will be final, and no request for review/revision whatsoever will be entertained.

IUPRAI-ICVGIP Award Committee visit more details.

Such method has the advantage of being fast and adequate for applications that characterized by small datasets.

Face recognition (FR) offers unmatched advantages as compared to other biometrics, such as easy access or needless explicit cooperation from users, and today, it has attained the reliability and the maturity required by real applications [1].

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