This paper presents a novel approach for detecting affine invariant interest points. Our method can deal with significant affine transformations including large scale changes. Such...
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
The problem of computing low rank approximations of matrices is considered. The novel aspect of our approach is that the low rank approximations are on a collection of matrices. W...
Over the past few years, a quiet revolution has been redefining our fundamental computing technologies. Flexible E-Ink, OLED displays, shape-changing materials, parametric design,...
Marcelo Coelho, Ivan Poupyrev, Sajid Sadi, Roel Ve...
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...