Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
In our previous work we presented a new 2D-3D mixed face recognition scheme called Partial Principal Component Analysis (P2 CA) [1]. The main contribution of P2 CA is that it uses...
Classifying materials from their appearance is a challenging problem, especially if illumination and pose conditions are permitted to change: highlights and shadows caused by 3D st...
Eric Hayman, Barbara Caputo, Mario Fritz, Jan-Olof...
We present results of probabilistic tagging of Czech texts in order to show how these techniques work for one of the highly morphologically ambiguous inflective languages. After d...
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...