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» Shapes as empirical distributions
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ICCV
2009
IEEE
16 years 2 months ago
Scene Shape Priors for Superpixel Segmentation
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for feat...
Alastair P. Moore, Simon J. D. Prince, Jonathan Wa...
AICT
2007
IEEE
180views Communications» more  AICT 2007»
15 years 4 months ago
BPTraSha: A Novel Algorithm for Shaping Bursty Nature of Internet Traffic
Various researchers have reported that traffic measurements demonstrate considerable burstiness on several time scales, with properties of self-similarity. Also, the rapid developm...
Karim Mohammed Rezaul, Vic Grout
EUSAI
2004
Springer
15 years 3 months ago
Shaping the Ambience of Homes with Domestic Hypermedia
We currently witness a massive digitization of domestic materials e.g. photos, music, calendars, recipes, notes, messages. This digitization provides new conditions for how we inte...
Marianne Graves Petersen, Kaj Grønbæk
TIP
2008
124views more  TIP 2008»
14 years 9 months ago
Robust Shape Tracking With Multiple Models in Ultrasound Images
This paper addresses object tracking in ultrasound images using a robust multiple model tracker. The proposed tracker has the following features: 1) it uses multiple dynamic models...
Jacinto C. Nascimento, Jorge S. Marques
ICMCS
2009
IEEE
161views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Novel VQ with constraints on the quantization error distribution
In this paper, we motivate and introduce a novel vector quantization (VQ) scheme for distributing the quantization error among the quantized features of a continuous feature vecto...
Joachim Schenk, Frank Wallhoff, Gerhard Rigoll