Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
Reliability analysis has become an integral part of system design and operating. This is especially true for systems performing critical tasks such as mass transportation systems....
Roland Donat, Laurent Bouillaut, Patrice Aknin, Ph...
Abstract. The shrinking generator is a well-known keystream generator composed of two linear feedback shift registers, LFSR1 and LFSR2, where LFSR1 is clock-controlled according to...
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Some promising recent schemes for XML access control employ encryption for implementing security policies on published data, avoiding data duplication. In this paper we study one ...