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CVPR
2011
IEEE
15 years 2 months ago
Adapting an Object Detector by Considering the Worst Case: a Conservative Approach
The performance of an offline-trained classifier can be improved on-site by adapting the classifier towards newly acquired data. However, the adaptation rate is a tuning parame...
Guang Chen, TonyX. Han
166
Voted
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 11 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
ICIP
2008
IEEE
16 years 8 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram
ICRA
2008
IEEE
123views Robotics» more  ICRA 2008»
16 years 21 days ago
Target-directed attention: Sequential decision-making for gaze planning
— It is widely agreed that efficient visual search requires the integration of target-driven top-down information and image-driven bottom-up information. Yet the problem of gaze...
Julia Vogel, Nando de Freitas
IROS
2007
IEEE
85views Robotics» more  IROS 2007»
16 years 17 days ago
Probabilistic map building considering sensor visibility for mobile robot
— This paper describes a method of probabilistic obstacle map building based on Bayesian estimation. Most active or passive obstacle sensors observe only the most frontal objects...
Kazuma Haraguchi, Nobutaka Shimada, Yoshiaki Shira...