We describe a framework for learning an object classifier from a single example. This goal is achieved by emphasizing the relevant dimensions for classification using available ex...
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
We investigate the problem of learning to predict moves in the board game of Go from game records of expert players. In particular, we obtain a probability distribution over legal...
In previous research it has been shown that link-based web page metrics can be used to predict experts’ assessment of quality. We are interested in a related question: do expert...
Measures of dissimilarity of 3D models are necessary in a wide range of applications such as geometry compression, simplification, and 3D model retrieval. In many cases a metric ...