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ECCV
2008
Springer
16 years 9 months ago
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...
GRAPHITE
2007
ACM
15 years 11 months ago
A shape hierarchy for 3D modelling from video
This paper describes an interactive method for generating a model of a scene from image data. The method uses the camera parameters and point cloud typically generated by structur...
Anton van den Hengel, Anthony R. Dick, Thorsten Th...
ICCV
1995
IEEE
15 years 10 months ago
Algorithms for Implicit Deformable Models
This paper presents a framework for implicit deformable models and a pair of new algorithms for solving the nonlinear partial di erential equations that result from this framework...
Ross T. Whitaker
ISMB
1998
15 years 8 months ago
Prediction of Signal Peptides and Signal Anchors by a Hidden Markov Model
A hidden Markov model of signal peptides has been developed. It contains submodels for the N-terminal part, the hydrophobic region, and the region around the cleavage site. For kn...
Henrik Nielsen, Anders Krogh
ENTCS
2008
122views more  ENTCS 2008»
15 years 7 months ago
Concurrency in Biological Modeling: Behavior, Execution and Visualization
Modeling natural systems is a complicated task that involves the concurrent behavior of various processes, mechanisms and objects. Here, we describe an approach that we have been ...
David Harel, Yaki Setty, Sol Efroni, Naamah Swerdl...