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» Experiments with patch-based object classification
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BMVC
2010
14 years 9 months ago
A general boosting-based framework for active object recognition
We propose a novel general framework with a boosting algorithm to achieve active object classification by view selection. The proposed framework actively decides the next best vie...
Zhaoyin Jia, Yao-Jen Chang, Tsuhan Chen
ICPR
2000
IEEE
16 years 20 days ago
Experiments with an Extended Tangent Distance
Invariance is an important aspect in image object recognition. We present results obtained with an extended tangent distance incorporated in a kernel density based Bayesian classi...
Daniel Keysers, Hermann Ney, Jörg Dahmen, Tho...
ICPR
2006
IEEE
16 years 21 days ago
Efficient Search and Verification for Function Based Classification from Real Range Images
In this work we propose a probabilistic model for generic object classification from raw range images. Our approach supports a validation process in which classes are verified usi...
Ehud Rivlin, Ilan Shimshoni, Octavian Soldea
CHI
2009
ACM
16 years 6 days ago
Understanding, scoping and defining user experience: a survey approach
Despite the growing interest in user experience (UX), it has been hard to gain a common agreement on the nature and scope of UX. In this paper, we report a survey that gathered th...
Effie Lai-Chong Law, Virpi Roto, Marc Hassenzahl, ...
ACCV
2010
Springer
14 years 6 months ago
One-Class Classification with Gaussian Processes
Detecting instances of unknown categories is an important task for a multitude of problems such as object recognition, event detection, and defect localization. This paper investig...
Michael Kemmler, Erik Rodner, Joachim Denzler