We present a technique that improves random test generation by incorporating feedback obtained from executing test inputs as they are created. Our technique builds inputs incremen...
Carlos Pacheco, Shuvendu K. Lahiri, Michael D. Ern...
Abstract. We investigate the extent to which eye movements in natural dynamic scenes can be predicted with a simple model of bottom-up saliency, which learns on different visual re...
Eleonora Vig, Michael Dorr, Thomas Martinetz, Erha...
Abstract. Many of the steps in phylogenetic reconstruction can be confounded by “rogue” taxa, taxa that cannot be placed with assurance anywhere within the tree—whose locatio...
Nicholas D. Pattengale, Krister M. Swenson, Bernar...
We consider visual category recognition in the framework of measuring similarities, or equivalently perceptual distances, to prototype examples of categories. This approach is qui...
Alexander C. Berg, Hao Zhang 0003, Jitendra Malik,...
Abstract. In this paper we present a new technique for automatically verifying typing constraints in the setting of Dminor, a first-order data processing language with refinement...