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» Learning Models for Object Recognition
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87
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ISWC
2006
IEEE
15 years 4 months ago
Towards Less Supervision in Activity Recognition from Wearable Sensors
Activity Recognition has gained a lot of interest in recent years due to its potential and usefulness for context-aware wearable computing. However, most approaches for activity r...
Tâm Huynh, Bernt Schiele
ICRA
2010
IEEE
117views Robotics» more  ICRA 2010»
14 years 8 months ago
Online intention recognition for computer-assisted teleoperation
— An online intention recognition algorithm for computer-assisted teleoperation is introduced. The algorithm is able to distinguish between phases of a typical object manipulatio...
Nikolay Stefanov, Angelika Peer, Martin Buss
ECCV
2006
Springer
16 years 1 days ago
Located Hidden Random Fields: Learning Discriminative Parts for Object Detection
This paper introduces the Located Hidden Random Field (LHRF), a conditional model for simultaneous part-based detection and segmentation of objects of a given class. Given a traini...
Ashish Kapoor, John M. Winn
85
Voted
CVPR
2012
IEEE
13 years 17 days ago
Learning to localize detected objects
In this paper, we propose an approach to accurately localize detected objects. The goal is to predict which features pertain to the object and define the object extent with segme...
Qieyun Dai, Derek Hoiem
ERCIMDL
2009
Springer
167views Education» more  ERCIMDL 2009»
15 years 4 months ago
Conceptual Discovery of Educational Resources through Learning Objectives
This poster reports on current work with the NSF-funded Achievement Standards Network (ASN) to support discovery of educational resources in digital libraries using conceptual grap...
Stuart A. Sutton, Diny Golder