Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...
Surface flattening is a crucial problem for many applications as indicated by the steady flow of new methods appearing in related publications. Quality control of these methods, b...
Real-time recognition may be limited by scarce memory and computing resources for performing classification. Although, prior research has addressed the problem of training classif...
Ashish Kapoor, Simon Baker, Sumit Basu, Eric Horvi...
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
The selection of features that are relevant for a prediction or classification problem is an important problem in many domains involving high-dimensional data. Selecting features h...
Michel Verleysen, Fabrice Rossi, Damien Fran&ccedi...