We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
Background: The degree to which conventional DNA sequencing techniques will be successful for highly repetitive genomes is unclear. Investigators are therefore considering various...
Background: Covariance models (CMs) are probabilistic models of RNA secondary structure, analogous to profile hidden Markov models of linear sequence. The dynamic programming algo...
abstract Alain Mayer Yoram Ofeky Rafail Ostrovskyz Moti Yungx We investigate the problem of self-stabilizing round-robin token management scheme on an anonymous bidirectional ring...
Alain J. Mayer, Rafail Ostrovsky, Yoram Ofek, Moti...
— This paper presents a novel approach for visual scene modeling and classification, investigating the combined use of text modeling methods and local invariant features. Our wo...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...