JMLR Special Topic on Gesture Recognition
Third call for papers
Deadline December 15, 2012
The Journal of Machine Learning Research announces a special topic on gesture recognition.
Papers relevant to this topic may be submitted to the journal. Please also send email to the guest Editors with your paper number at gesture@ clopinet . com.
The participants of the CHALEARN Gesture Challenge are strongly encouraged to submit a paper.
We also invite other contributions relevant to gesture recognition, including:
- Algorithms for gesture and activity recognition, in particular addressing
o Learning from unlabeled or partially labeled data
o Learning from few examples per class, and transfer learning.
o Continuous gesture recognition and segmentation
o Deep learning architectures, including convolutional neural networks
o Gesture recognition in challenging scenes, including cluttered/moving backgrounds or moving cameras, or scenes where multiple persons are present.
o Integrating information from multiple channels (e.g., position/motion of multiple body parts, hand shape, facial expressions).
- Data representations
- Applications pertinent to the workshop topic, such as involving:
o Video surveillance
o Image or video indexing and retrieval
o Recognition of sign languages for the deaf
o Emotion recognition and affective computing
o Computer interfaces
o Virtual reality
o Ambiant intelligence
- Datasets and benchmarks
The papers of the special topic of JMLR will also be reprinted as a book in the CiML series of Microtome.
Guest Editors: Isabelle Guyon and Vassilis Athitsos
gesture@ clopinet . com.
Recommendations to competitors invited to write a JMLR paper:
JMLR is a very selective publication and your paper will undergo a regular journal review.
Your chances of acceptance will be increased if:
- You clearly motivate your approach from a practical and theoretical standpoint
- You present a consistent set of experiments (using the development data) showing a significant advantage over other methods
- You cite your final evaluation results in the challenge (which will become available soon)
- You make sure that your paper is well organized, well written, with good references, figures, and tables.
We recommend not to exceed 20 pages.