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140
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CVPR
2007
IEEE
16 years 5 months ago
Learning the Compositional Nature of Visual Objects
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
Björn Ommer, Joachim M. Buhmann
149
Voted
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
151
Voted
MHCI
2005
Springer
15 years 9 months ago
Searching common experience: a social communication tool based on mobile ad-hoc networking
As small digital cameras become more popular, opportunities to take photos are rapidly increasing. Photo sharing is a great way to maintain and revitalize relationships between fa...
Michimune Kohno, Jun Rekimoto
AI
2004
Springer
15 years 3 months ago
Hierarchical model-based diagnosis based on structural abstraction
al Abstraction Luca Chittaro and Roberto Ranon Department of Mathematics and Computer Science, University of Udine, via delle Scienze 206, 33100 Udine, Italy ion has been advocat...
Luca Chittaro, Roberto Ranon
113
Voted
ECAI
2008
Springer
15 years 5 months ago
Semantic Activity Recognition
Extracting automatically the semantics from visual data is a real challenge. We describe in this paper how recent work in cognitive vision leads to significative results in activi...
Monique Thonnat