Call for papers

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 Robotics

o Ambiant intelligence

o Games

- 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.