We investigate the use of certain data-dependent estimates of the complexity of a function class, called Rademacher and Gaussian complexities. In a decision theoretic setting, we ...
Background: Alignment of RNA secondary structures is important in studying functional RNA motifs. In recent years, much progress has been made in RNA motif finding and structure a...
Jianghui Liu, Jason Tsong-Li Wang, Jun Hu, Bin Tia...
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
— This paper introduces an incremental method for “Structure From Motion” of complex scenes from a video sequence. More precisely, we estimate the 3D positions of the viewed ...
E. Mouragnon, Maxime Lhuillier, Michel Dhome, Fabi...