In this paper, we have introduced a hierarchical object categorization method with automatic feature selection. A hierarchy obtained by natural similarities and properties is learn...
Universal kernels have been shown to play an important role in the achievability of the Bayes risk by many kernel-based algorithms that include binary classification, regression, ...
Bharath K. Sriperumbudur, Kenji Fukumizu, Gert R. ...
Abstract In this paper, we present a framework for the classification of images in surface inspection tasks and address several key aspects of the processing chain from the origina...
Christian Eitzinger, Wolfgang Heidl, Edwin Lughofe...
This paper investigates the application of the Generalized Likelihood Ratio Test detector to the Global Navigation Satellite System array-based acquisition problem. We consider an...
Although PDAs typically run applications in a "standalone" mode, they are increasingly equipped with wireless communications, which makes them useful in new domains. Thi...