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» The Dark Side of Object Learning: Learning Objects
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TIP
2011
217views more  TIP 2011»
13 years 4 months ago
Contextual Object Localization With Multiple Kernel Nearest Neighbor
—Recently, many object localization models have shown that incorporating contextual cues can greatly improve accuracy over using appearance features alone. Therefore, many of the...
Brian McFee, Carolina Galleguillos, Gert R. G. Lan...
ECCV
2010
Springer
14 years 2 months ago
Backprojection Revisited: Scalable Multi-view Object Detection and Similarity Metrics for Detections
Hough transform based object detectors learn a mapping from the image domain to a Hough voting space. Within this space, object hypotheses are formed by local maxima. The votes con...
ICCV
2007
IEEE
14 years 11 months ago
An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...
Liang Lin, Shaowu Peng, Jake Porway, Song Chun Zhu...
APIN
1998
132views more  APIN 1998»
13 years 9 months ago
Evolution-Based Methods for Selecting Point Data for Object Localization: Applications to Computer-Assisted Surgery
Object localization has applications in many areas of engineering and science. The goal is to spatially locate an arbitrarily-shaped object. In many applications, it is desirable ...
Shumeet Baluja, David Simon
ICPR
2004
IEEE
14 years 10 months ago
Object Class Recognition using Images of Abstract Regions
lass Recognition using Images of Abstract Regions Yi Li, Jeff A. Bilmes, and Linda G. Shapiro Department of Computer Science and Engineering Department of Electrical Engineering Un...
Jeff A. Bilmes, Linda G. Shapiro, Yi Li