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» Visual Object Recognition Through One-Class Learning
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ECCV
2000
Springer
15 years 11 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
89
Voted
CVPR
2007
IEEE
15 years 11 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher
VL
2010
IEEE
209views Visual Languages» more  VL 2010»
14 years 7 months ago
Towards the Automatic Recognition of Computational Thinking for Adaptive Visual Language Learning
Visual programming languages can be used to make computer science more accessible to a broad range of students. The evaluative focus of current research in the area of visual lang...
Kyu Han Koh, Ashok R. Basawapatna, Vicki Bennett, ...
ICIP
2007
IEEE
15 years 11 months ago
Object Recognition Based on Dependent Pachinko Allocation Model
Recently the "bag of words" model becomes popular in the approaches to object recognition. These approaches model an image as a collection of local patches called "...
Yuanning Li, Weiqiang Wang, Wen Gao
BVAI
2005
Springer
15 years 3 months ago
A Neural Model of Human Object Recognition Development
The human capability of recognizing objects visually is here held to be a function emerging as result of interactions between epigenetic influences and basic neural plasticity mec...
Rosaria Grazia Domenella, Alessio Plebe