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» Tracking Objects Using Recognition
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173
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CVPR
2012
IEEE
13 years 5 months ago
Discovering localized attributes for fine-grained recognition
Attributes are visual concepts that can be detected by machines, understood by humans, and shared across categories. They are particularly useful for fine-grained domains where c...
Kun Duan, Devi Parikh, David J. Crandall, Kristen ...
119
Voted
ICCV
2009
IEEE
16 years 7 months ago
A Latent Model of Discriminative Aspect
Recognition using appearance features is confounded by phenomena that cause images of the same object to look different, or images of different objects to look the same. This ma...
Ali Farhadi, Mostafa Kamali Tabrizi, Ian Endres, D...
154
Voted
AC
2000
Springer
15 years 7 months ago
Graph-Theoretical Methods in Computer Vision
The management of large databases of hierarchical (e.g., multi-scale or multilevel) image features is a common problem in object recognition. Such structures are often represented ...
Ali Shokoufandeh, Sven J. Dickinson
130
Voted
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 3 months ago
Domain-constrained semi-supervised mining of tracking models in sensor networks
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...
Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeff...
118
Voted
SE
2008
15 years 4 months ago
TIME - Tracking Intra- and Inter-Model Evolution
Abstract: Modern software development approaches, especially the model-driven approaches, heavily rely on the use of models during the whole development process. With the increasin...
Maximilian Kögel