This paper considers projective reconstruction with a hierarchical computational structure of trifocal tensors that integrates feature tracking and geometrical validation of the f...
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
This work defines several control-flow coverage criteria for testing the interactions among a set of collaborating objects. The criteria are based on UML sequence diagrams that a...
We present a novel approach to managing redundancy in sequence databanks such as GenBank. We store clusters of near-identical sequences as a representative union-sequence and a se...
Michael Cameron, Yaniv Bernstein, Hugh E. Williams
We continue the study of the linear complexity of binary sequences, independently introduced by Sidel'nikov and Lempel, Cohn, and Eastman. These investigations were originated...