Sciweavers

558 search results - page 59 / 112
» Structural Modelling with Sparse Kernels
Sort
View
CVPR
2012
IEEE
13 years 11 days ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
TOG
2012
237views Communications» more  TOG 2012»
13 years 12 days ago
An algebraic model for parameterized shape editing
We present an approach to high-level shape editing that adapts the structure of the shape while maintaining its global characteristics. Our main contribution is a new algebraic mo...
Martin Bokeloh, Michael Wand, Hans-Peter Seidel, V...
ACL
2008
14 years 11 months ago
Bayesian Learning of Non-Compositional Phrases with Synchronous Parsing
We combine the strengths of Bayesian modeling and synchronous grammar in unsupervised learning of basic translation phrase pairs. The structured space of a synchronous grammar is ...
Hao Zhang, Chris Quirk, Robert C. Moore, Daniel Gi...
RECOMB
2001
Springer
15 years 2 months ago
Extracting structural information using time-frequency analysis of protein NMR data
High-throughput, data-directed computational protocols for Structural Genomics (or Proteomics) are required in order to evaluate the protein products of genes for structure and fu...
Christopher James Langmead, Bruce Randall Donald
CORR
2010
Springer
167views Education» more  CORR 2010»
14 years 10 months ago
Network Flow Algorithms for Structured Sparsity
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...