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IROS
2009
IEEE
120views Robotics» more  IROS 2009»
14 years 3 months ago
Interactive learning of visually symmetric objects
— This paper describes a robotic system that learns visual models of symmetric objects autonomously. Our robot learns by physically interacting with an object using its end effec...
Wai Ho Li, Lindsay Kleeman
IDA
2002
Springer
13 years 8 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
ICIP
2003
IEEE
14 years 10 months ago
Video object segmentation and tracking in stereo sequences using adaptable neural networks
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
Nikolaos D. Doulamis, Anastasios D. Doulamis
CVPR
2007
IEEE
14 years 7 months ago
Partially Occluded Object-Specific Segmentation in View-Based Recognition
We present a novel object-specific segmentation method which can be used in view-based object recognition systems. Previous object segmentation approaches generate inexact results ...
Minsu Cho (Seoul National University), Kyoung Mu L...
RIAO
2007
13 years 10 months ago
Using the Knowledge of Object Colors to Segment Images and Improve Web Image Search
With web image search engines, we face a situation where the results are very noisy, and when we ask for a specific object, we are not ensured that this object is contained in all...
Christophe Millet, Isabelle Bloch