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» 2LDA: Segmentation for Recognition
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PRL
2002
91views more  PRL 2002»
13 years 7 months ago
StrCombo: combination of string recognizers
In this paper, we contribute a new paradigm of combining string recognizers and propose generic frameworks for hierarchical and parallel combination of multiple string recognizers...
Xiangyun Ye, Mohamed Cheriet, Ching Y. Suen
PR
2007
293views more  PR 2007»
13 years 7 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
RAS
2008
112views more  RAS 2008»
13 years 7 months ago
Learning and generalising semantic knowledge from object scenes
The robot described in this paper learns words that relate to objects and their attributes and also learns concepts, which may be recursive, that involve relationships between sev...
Claire D'Este, Claude Sammut
IJCV
2010
217views more  IJCV 2010»
13 years 6 months ago
Volumetric Features for Video Event Detection
Real-world actions occur often in crowded, dynamic environments. This poses a difficult challenge for current approaches to video event detection because it is difficult to segm...
Yan Ke, Rahul Sukthankar, Martial Hebert
BMVC
2010
13 years 5 months ago
Live Feature Clustering in Video Using Appearance and 3D Geometry
We present a method for live grouping of feature points into persistent 3D clusters as a single camera browses a static scene, with no additional assumptions, training or infrastr...
Adrien Angeli, Andrew Davison