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» Learning Models for Object Recognition
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CVIU
2008
179views more  CVIU 2008»
15 years 3 months ago
Incremental, scalable tracking of objects inter camera
This paper presents a scalable solution to the problem of tracking objects across spatially separated, uncalibrated cameras with non overlapping fields of view. The approach relie...
Andrew Gilbert, Richard Bowden
ICCV
2011
IEEE
14 years 3 months ago
From Contours to 3D Object Detection and Pose Estimation
This paper addresses view-invariant object detection and pose estimation from a single image. While recent work focuses on object-centered representations of point-based object fe...
Nadia Payet, Sinisa Todorovic
FGR
2000
IEEE
112views Biometrics» more  FGR 2000»
15 years 7 months ago
Viewpoint-Invariant Learning and Detection of Human Heads
We present a method to learn models of human heads for the purpose of detection from different viewing angles. We focus on a model where objects are represented as constellations ...
Markus Weber, Wolfgang Einhäuser, Max Welling...
JCP
2007
120views more  JCP 2007»
15 years 3 months ago
Application of Multi-Attribute Decision Making Approach to Learning Management Systems Evaluation
—The article presents an approach to the development of multi-attribute decision making model that is based on DEX, an expert system shell for multi-attribute decision support. W...
Tanja Arh, Borka Jerman-Blazic
ICANN
2011
Springer
14 years 6 months ago
Learning from Multiple Annotators with Gaussian Processes
Abstract. In many supervised learning tasks it can be costly or infeasible to obtain objective, reliable labels. We may, however, be able to obtain a large number of subjective, po...
Perry Groot, Adriana Birlutiu, Tom Heskes