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» Unsupervised detection of contours using a statistical model
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MLDM
2005
Springer
15 years 3 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
COLING
2010
14 years 4 months ago
Contextual Modeling for Meeting Translation Using Unsupervised Word Sense Disambiguation
In this paper we investigate the challenges of applying statistical machine translation to meeting conversations, with a particular view towards analyzing the importance of modeli...
Mei Yang, Katrin Kirchhoff
JMM2
2007
132views more  JMM2 2007»
14 years 9 months ago
Contour Tracking of Targets with Large Aspect Change
In this paper we present a novel method for tracking contour of a moving rigid object in natural video sequences from a mobile camera. While a mobile camera is keeping track of a m...
Behzad Jamasbi, Seyed Ahmad Motamedi, Alireza Behr...
IEICET
2006
100views more  IEICET 2006»
14 years 9 months ago
Generating F0 Contours by Statistical Manipulation of Natural F0 Shapes
This paper proposes a method of generating F0 contours from natural F0 segmental shapes for speech synthesis. The extracted shapes of F0 units are basically kept unchanged, by eli...
Takashi Saito
IWANN
2001
Springer
15 years 2 months ago
Character Feature Extraction Using Polygonal Projection Sweep (Contour Detection)
It is presented in this paper a new approach to the problem of feature extraction. The approach is based on the edge detection, where a set of feature vectors is taken from the sou...
Roberto J. Rodrigues, Gizelle Kupac Vianna, Antoni...