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» The Value of Visualization
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ESANN
2006
15 years 5 months ago
Sanger-driven MDSLocalize - a comparative study for genomic data
Multidimensional scaling (MDS) methods are designed to establish a one-to-one correspondence of input-output relationships. While the input may be given as high-dimensional data it...
Marc Strickert, Nese Sreenivasulu, Udo Seiffert
135
Voted
CVPR
1999
IEEE
16 years 5 months ago
High-Level and Generic Models for Visual Search: When Does High Level Knowledge Help?
We analyze the problem of detecting a road target in background clutter and investigate the amount of prior (i.e. target specific) knowledge needed to perform this search task. Th...
Alan L. Yuille, James M. Coughlan
ECCV
2002
Springer
16 years 5 months ago
Towards Improved Observation Models for Visual Tracking: Selective Adaptation
Abstract. An important issue in tracking is how to incorporate an appropriate degree of adaptivity into the observation model. Without any adaptivity, tracking fails when object pr...
Andrew Blake, Jaco Vermaak, Michel Gangnet, Patric...
ICPR
2008
IEEE
16 years 5 months ago
Visual features with semantic combination using Bayesian network for a more effective image retrieval
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Sabine Barrat, Salvatore Tabbone
CVPR
2010
IEEE
16 years 1 days ago
Sufficient Dimensionality Reduction for Visual Sequence Classification
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Alex Shyr, Raquel Urtasun, Michael Jordan