Automatic classification of the aesthetic content of a picture is one of the challenges in the emerging discipline of computational aesthetics. Any suitable solution must cope wit...
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
—Social networks and discussion boards have become a significant outlet where people communicate and express their opinion freely. Although the social networks themselves are us...
Dimensionality reduction is the problem of finding a low-dimensional representation of highdimensional input data. This paper examines the case where additional information is kno...
Due to increased variability trends in nanoscale integrated circuits, statistical circuit analysis has become essential. We present a novel method for post-silicon analysis that g...