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CVPR
2004
IEEE
16 years 8 months ago
Learning Object Detection from a Small Number of Examples: The Importance of Good Features
Face detection systems have recently achieved high detection rates[11, 8, 5] and real-time performance[11]. However, these methods usually rely on a huge training database (around...
Kobi Levi, Yair Weiss
COLT
1989
Springer
15 years 10 months ago
Learning in the Presence of Inaccurate Information
The present paper considers the effects of introducing inaccuracies in a learner’s environment in Gold’s learning model of identification in the limit. Three kinds of inaccu...
Mark A. Fulk, Sanjay Jain
ICPR
2004
IEEE
16 years 7 months ago
Global Localization and Relative Pose Estimation Based on Scale-Invariant Features
The capability of maintaining the pose of the mobile robot is central for basic navigation and map building tasks. In this paper we describe a vision-based hybrid localization sch...
Jana Kosecka, Xiaolong Yang
SUTC
2008
IEEE
16 years 1 months ago
Two Practical Considerations of Beacon Deployment for Ultrasound-Based Indoor Localization Systems
In this paper, two practical considerations of beacon deployment for ultrasound-based indoor localization systems are presented. In an indoor environment, beacons are deployed inc...
Chun-Chieh Hsiao, Polly Huang
ICS
1992
Tsinghua U.
15 years 10 months ago
Optimizing for parallelism and data locality
Previous research has used program transformation to introduce parallelism and to exploit data locality. Unfortunately,these twoobjectives have usuallybeen considered independentl...
Ken Kennedy, Kathryn S. McKinley