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ICPR
2006
IEEE
14 years 8 months ago
Feature selection based on the training set manipulation
A novel filter feature selection technique is introduced. The method exploits the information conveyed by the evolution of the training samples weights similarly to the Adaboost a...
Pavel Krízek, Josef Kittler, Václav ...

Publication
335views
11 years 10 months ago
Person Re-Identification: What Features are Important?
State-of-the-art person re-identi cation methods seek robust person matching through combining various feature types. Often, these features are implicitly assigned with a single ve...
Chunxiao Liu, Shaogang Gong, Chen Change Loy, Xing...
ISVC
2005
Springer
14 years 1 months ago
Image Smoothing and Segmentation by Graph Regularization
We propose a discrete regularization framework on weighted graphs of arbitrary topology, which leads to a family of nonlinear filters, such as the bilateral filter or the TV digi...
Sébastien Bougleux, Abderrahim Elmoataz
ISBI
2004
IEEE
14 years 8 months ago
Quantitative Imaging: How to Measure Size Features in Digitized Images
We present an nD image processing paradigm to obtain high precision estimates of geometric object properties such as volume, surface area, and length from digitized data. We prove...
Lucas J. van Vliet, Piet W. Verbeek, Ian T. Young
ICRA
1998
IEEE
111views Robotics» more  ICRA 1998»
13 years 12 months ago
Weighting Observations: The Use of Kinematic Models in Object Tracking
We describe a model-based object tracking system that updates the configuration parameters of an object model based upon information gathered from a sequence of monocular images. ...
Kevin Nickels, Seth Hutchinson