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GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
15 years 6 months ago
Hierarchical evolution of linear regressors
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
Francesc Teixidó-Navarro, Albert Orriols-Pu...
ICCV
2011
IEEE
14 years 4 months ago
Hough-based Tracking of Non-Rigid Objects
Online learning has shown to be successful in tracking of previously unknown objects. However, most approaches are limited to a bounding-box representation with fixed aspect rati...
Martin Godec, Peter M. Roth, Horst Bischof
ICPR
2008
IEEE
16 years 6 months ago
A new objective function for sequence labeling
We propose a new loss function for discriminative learning of Markov random fields, which is an intermediate loss function between the sequential loss and the pointwise loss. We s...
Hisashi Kashima, Yuta Tsuboi
139
Voted
CVPR
2010
IEEE
16 years 1 months ago
Visual Recognition and Detection Under Bounded Computational Resources
Visual recognition and detection are computationally intensive tasks and current research efforts primarily focus on solving them without considering the computational capability ...
Sudheendra Vijayanarasimhan, Ashish Kapoor
TIP
2008
302views more  TIP 2008»
15 years 4 months ago
Adaptive Pseudo Dilation for Gestalt Edge Grouping and Contour Detection
We consider the problem of detecting object contours in natural images. In many cases, local luminance changes turn out to be stronger in textured areas than on object contours. Th...
Giuseppe Papari, Nicolai Petkov