Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
In order to understand AdaBoost’s dynamics, especially its ability to maximize margins, we derive an associated simplified nonlinear iterated map and analyze its behavior in lo...
Cynthia Rudin, Ingrid Daubechies, Robert E. Schapi...
We present “contact levels of detail” (CLOD), a novel concept for multiresolution collision detection. Given a polyhedral model, our algorithm automatically builds a “dual h...
This paper1 describes an algorithm for testing polymorphic interactions between classes in object-oriented (O-O) software. We propose an Augmented Object Relationship Diagram (AOR...
This paper presents an algorithm for combining pattern recognition-based exon prediction and database homologysearch in gene model construction. Thegoal is to use homologousgeneso...