Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Abstract. In this paper we investigate the problem of exploiting multiple sources of information for object recognition tasks when additional modalities that are not present in the...
As many popular text genres such as blogs or news contain opinions by multiple sources and about multiple targets, finding the sources and targets of subjective expressions become...
Josef Ruppenhofer, Swapna Somasundaran, Janyce Wie...
Abstract Technological advancements are constantly increasing the size and complexity of data resulting from microarray experiments. This fact has led biologists to ask complex que...
Nameeta Shah, Vladimir Filkov, Bernd Hamann, Kenne...
Combining different and complementary object models promises to increase the robustness and generality of today’s computer vision algorithms. This paper introduces a new method ...