Contests in Signal Processing and Machine Learning

During the last couple of months, a few new Signal Processing and Machine Learning contests were initiated. Some of the ongoing ones with a strong relation to Signal Processing include:

From the domain of Signal Processing for cartography there is a Kaggle contest asking to predict the forest cover type (the predominant kind of tree cover) from strictly cartographic variables (as opposed to remotely sensed data). The actual forest cover type for a given 30 x 30 meter cell was determined from US Forest Service (USFS) Region 2 Resource Information System data. Independent variables were then derived from data obtained from the US Geological Survey and USFS. The dataset was provided by Jock A. Blackard and Colorado State University.

Several challenges related to machine learning and signal processing have been selected to take place in the context of the International Symposium on Biomedical Imaging (ISBI). In general, each challenge is a combination of a contest and a workshop. The list includes the following topics:

• White Matter Modeling
• Cell Tracking Challenge
• Segmentation of Overlapping Cervical Cells from Multi-layer Cytology Preparation Volumes
• Grand Challenges in Dental X-ray Image Analysis
• Longitudinal Multiple Sclerosis Lesion Segmentation
• MR Brain Image Segmentation in Neonates versus Adults (NEATBrainS15)
• Automatic Polyp Detection Challenge in Colonoscopy Videos
• VISCERAL Anatomy for Grand Challenge