About IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) publishes articles on all traditional areas of computer vision and image understanding, all traditional areas of pattern analysis and recognition, and selected areas of machine intelligence, with a particular emphasis on machine learning for pattern analysis.
Topics of interest include, but are not limited to, the following:
This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid Open Access (OA) manuscript submission. Read about OA submissions here.
In addition to submitting your paper to TPAMI, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you!
For author information and guidelines on submission criteria, please visit the TPAMI Information and Submission Guidelines page on IEEE Transactions on Parallel and Distributed Systems.
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