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Enhancing Social Image Tagging with Graph-Based Reinforcement

This presentation addresses the challenge of social image tagging using graph-based reinforcement on multi-type interrelated objects. The importance lies in improving image tagging accuracy and efficiency. The problem remains unsolved due to complex object relationships in images. Our idea proposes a reinforcement learning approach with graph structures for enhanced tagging. Methodology includes mathematical formulation and case studies. Preliminary results show improved tagging precision.

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Enhancing Social Image Tagging with Graph-Based Reinforcement

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Presentation Transcript

  1. Selected Challenge Group # Names

  2. Background and Problem • Introduce the challenge you selected • Why it is important • Why it is still unsolved • State clearly the problem you want to solve

  3. Your idea • Present the overall idea in this slide with diagram(s)

  4. Methodology • Formulate the by: • mathematic • analytic result • case study • another mean that can convey your idea

  5. Preliminary result • Some real/ expected result from references • Bonus to prototype, number, statistic

  6. Q & A

  7. References • List your reference here • No need to present this slide • e.g., • [1] X. Zhang, X. Zhao, Z. Li, J. Xia, R. Jain and W. Chao, "Social image tagging using graph-based reinforcement on multi-type interrelated objects," Signal Process, 2012.

  8. Others information (do not include this page in your ppt) • No more than 3 points on each slide • 5 mins presentation + 5 mins Q&A • Suggested format, you may change the style and the title but do not change the content or add/ delete any page • You may include 1/2 figures in each slide • With page number

  9. Others information (do not include this page in your ppt) • Make the slides and pictures look professional • Use colours or themes easily readable when displayed (high contrast) • Rehearse to be sure your slides follow your speech

  10. Evaluation(do not include this page in your ppt) • Effectiveness • Can the solution able to solve the challenge • Can be an existing solution • Feasibility to implement • Novelty of your idea and data • Why the previous works cannot solve the work • Presentation skills • Convey Idea • Create complete and clear reference • Good time control

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