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ECCV
2010
Springer
15 years 8 months ago
Robust Multi-View Boosting with Priors
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
15 years 3 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
BMCBI
2005
94views more  BMCBI 2005»
15 years 3 months ago
YANA - a software tool for analyzing flux modes, gene-expression and enzyme activities
Background: A number of algorithms for steady state analysis of metabolic networks have been developed over the years. Of these, Elementary Mode Analysis (EMA) has proven especial...
Roland Schwarz, Patrick Musch, Axel von Kamp, Bern...
TVCG
2008
119views more  TVCG 2008»
15 years 3 months ago
Exploration of Networks using overview+detail with Constraint-based cooperative layout
A standard approach to large network visualization is to provide an overview of the network and a detailed view of a small component of the graph centred around a focal node. The u...
Tim Dwyer, Kim Marriott, Falk Schreiber, Peter J. ...
126
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PAMI
2010
205views more  PAMI 2010»
15 years 1 months ago
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Long Zhu, Yuanhao Chen, Alan L. Yuille