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» Image Categorization Using Local Probabilistic Descriptors
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ICCV
2005
IEEE
14 years 2 months ago
Contour-Based Learning for Object Detection
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Jamie Shotton, Andrew Blake, Roberto Cipolla
SAC
2003
ACM
14 years 2 months ago
Image Retrieval With Embedded Region Relationships
Image retrieval based on content from digital libraries, multimedia databases, the Internet, and other sources has been an important problem addressed by several researchers. In t...
Sharat Chandran, Naga Kiran
MICCAI
2007
Springer
14 years 10 months ago
Global Medical Shape Analysis Using the Laplace-Beltrami Spectrum
This paper proposes to use the Laplace-Beltrami spectrum (LBS) as a global shape descriptor for medical shape analysis, allowing for shape comparisons using minimal shape preproces...
Marc Niethammer, Martin Reuter, Franz-Erich Wolter...
ICIP
2005
IEEE
14 years 10 months ago
A likelihood function for block-based motion analysis
In this paper, the computation of likelihood of block motion candidates is considered. The method is based on the evaluation of the sum of squared differences (SSD) measure for lo...
Janne Heikkilä, Olli Silvén, Pekka San...
MOBICOM
2004
ACM
14 years 2 months ago
Practical robust localization over large-scale 802.11 wireless networks
We demonstrate a system built using probabilistic techniques that allows for remarkably accurate localization across our entire office building using nothing more than the built-...
Andreas Haeberlen, Eliot Flannery, Andrew M. Ladd,...