This paper describes a method for the "Analysis and Prediction of Performance for Evolving Architectures" (APPEAR). The method aims at performance estimation of adapted ...
Evgeni M. Eskenazi, Alexandre V. Fioukov, Dieter K...
In semi-supervised learning, a number of labeled examples are usually required for training an initial weakly useful predictor which is in turn used for exploiting the unlabeled e...
Hypertree decomposition has been shown to be the most general CSP decomposition method. However, so far the exact methods are not able to find optimal hypertree decompositions of...
Segmentation is one of the fundamental components in time series data mining. One of the uses of the time series segmentation is trend analysis - to segment the time series into pr...
We present a method for improving a 3D facial model by interactive feedback of mapping a texture obtained from a 3D scanner. The method is based on extracting features from both 3...