Machine Learning Techniques for Multimedia: Case Studies on Organization and Retrieval

@article{Cord2009MachineLT,
  title={Machine Learning Techniques for Multimedia: Case Studies on Organization and Retrieval},
  author={Matthieu Cord and Padraig Cunningham and Dhiraj Joshi},
  journal={J. Electronic Imaging},
  year={2009},
  volume={18},
  pages={039901}
}
Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying machine learning techniques to multimedia content involves special considerations – the data is typically of very high dimension, and the normal distinction between supervised and unsupervised techniques… CONTINUE READING
Highly Cited
This paper has 46 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 28 extracted citations

Methodology for Attention Detection based on Heart Rate Variability

2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES) • 2018
View 2 Excerpts

k-Means Partition of Monthly Average Insolation Period Data for Turkey

2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA) • 2016
View 1 Excerpt

LR-CNN for fine-grained classification with varying resolution

2015 IEEE International Conference on Image Processing (ICIP) • 2015
View 2 Excerpts

Similar Papers

Loading similar papers…