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» Experiments with patch-based object classification
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BMVC
2010
14 years 11 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 2 months 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 2 months 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 1 months 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 8 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