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IJNS
2007
133views more  IJNS 2007»
15 years 5 months ago
Online Learning of Objects in a Biologically Motivated Visual Architecture
We present a biologically motivated architecture for object recognition that is capable of online learning of several objects based on interaction with a human teacher. The system...
Heiko Wersing, Stephan Kirstein, Michael Gött...
MM
2010
ACM
115views Multimedia» more  MM 2010»
15 years 3 months ago
Interactive learning of heterogeneous visual concepts with local features
In the context of computer-assisted plant identification we are facing challenging information retrieval problems because of the very high within-class variability and of the lim...
Wajih Ouertani, Michel Crucianu, Nozha Boujemaa
SETN
2010
Springer
15 years 3 months ago
Visual Tracking by Adaptive Kalman Filtering and Mean Shift
A method for object tracking combining the accuracy of mean shift with the robustness to occlusion of Kalman filtering is proposed. At first, an estimation of the object's pos...
Vasileios Karavasilis, Christophoros Nikou, Aristi...
CVPR
2011
IEEE
15 years 17 days ago
Mining Discriminative Co-occurrence Patterns for Visual Recognition
The co-occurrence pattern, a combination of binary or local features, is more discriminative than individual features and has shown its advantages in object, scene, and action rec...
Junsong Yuan, Ming Yang, Ying Wu
VISUALIZATION
1998
IEEE
15 years 9 months ago
Building perceptual textures to visualize multidimensional datasets
This paper presents a new method for using texture to visualize multidimensional data elements arranged on an underlying threedimensional height field. We hope to use simple textu...
Christopher G. Healey, James T. Enns