The information revolution is creating and publishing vast data sets, such as records of business transactions, environmental statistics and census demographics. In many applicati...
The need for empirical evaluation metrics and algorithms is well acknowledged in the field of computer vision. The process leads to precise insights to understanding current techn...
Segmenting an image into semantically meaningful parts is a fundamental and challenging task in computer vision. Automatic methods are able to segment an image into coherent region...
Yaar Schnitman, Yaron Caspi, Daniel Cohen-Or, Dani...
Many documents that can be found in the World Wide Web include some kind of geographical information, often in an implicit way. The use of resources like gazetteers and geographic...
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...
Martin Godec, Christian Leistner, Amir Saffari, Ho...