Sciweavers

318 search results - page 11 / 64
» Visual Object Recognition Through One-Class Learning
Sort
View
ECCV
2000
Springer
16 years 6 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
CVPR
2007
IEEE
16 years 7 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
153
Voted
VL
2010
IEEE
209views Visual Languages» more  VL 2010»
15 years 3 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
16 years 6 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 10 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