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ICIAR
2004
Springer
14 years 1 months ago
Learning an Information Theoretic Transform for Object Detection
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
Jianzhong Fang, Guoping Qiu
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
14 years 1 months ago
Vegetation Detection for Driving in Complex Environments
— A key challenge for autonomous navigation in cluttered outdoor environments is the reliable discrimination between obstacles that must be avoided at all costs, and lesser obsta...
David M. Bradley, Ranjith Unnikrishnan, James Bagn...
NAACL
2010
13 years 5 months ago
Urdu Word Segmentation
Word Segmentation is the foremost obligatory task in almost all the NLP applications where the initial phase requires tokenization of input into words. Urdu is amongst the Asian l...
Nadir Durrani, Sarmad Hussain
ICCV
2001
IEEE
14 years 9 months ago
Image Segmentation by Data Driven Markov Chain Monte Carlo
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum
IJISTA
2008
132views more  IJISTA 2008»
13 years 7 months ago
Sub-pixel data fusion and edge-enhanced distance refinement for 2D/3D images
: An important field of reasearch in computer vision is the 3D analysis and reconstruction of objects and scenes. A rather new technologie in this context is the Photonic Mixer Dev...
Marvin Lindner, Martin Lambers, Andreas Kolb