We initiate a novel study of clustering problems. Rather than specifying an explicit objective function to optimize, our framework allows the user of clustering algorithm to speci...
Abstract. Automatic recognition of human faces is becoming increasingly popular in civilian and law enforcement applications that require reliable recognition of humans. However, t...
Ahmad-Reza Sadeghi, Thomas Schneider 0003, Immo We...
Background: The amount of available biological information is rapidly increasing and the focus of biological research has moved from single components to networks and even larger ...
Stephanie Heinen, Bernhard Thielen, Dietmar Schomb...
While genetically inspired approaches to multi-objective optimization have many advantages over conventional approaches, they do not explicitly exploit directional/gradient informa...
Boolean satisfiability (SAT) based methods have traditionally been popular for formally verifying properties for digital circuits. We present a novel methodology for formulating a...
Saurabh K. Tiwary, Anubhav Gupta, Joel R. Phillips...