Abstract. We describe progress in the automatic detection and identification of humans in video, given a minimal number of labelled faces as training data. This is an extremely cha...
Researchers, hindered by a lack of standard gene and protein-naming conventions, endure long, sometimes fruitless, literature searches. A system is described which is able to auto...
Raf M. Podowski, John G. Cleary, Nicholas T. Gonch...
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
Abstract. In previous work, we described a new approach to supporting userdefined type qualifiers, which augment existing types to specify and check additional properties of intere...
Brian Chin, Shane Markstrum, Todd D. Millstein, Je...
Abstract. This paper proposes a novel approach to anomalous behaviour detection in video. The approach is comprised of three key components. First, distributions of spatiotemporal ...