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» A General Method for Feature Matching and Model Extraction
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127
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FGR
2004
IEEE
160views Biometrics» more  FGR 2004»
15 years 7 months ago
A Comparison of Shape Constrained Facial Feature Detectors
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
David Cristinacce, Timothy F. Cootes
ICIP
2003
IEEE
16 years 5 months ago
Pixel classification through divergence-based integration of texture methods with conflict resolution
This paper presents a new technique for combining multiple texture feature extraction methods in order to classify the pixels of an input image into a set of texture models of int...
Domènec Puig, Miguel Angel García
132
Voted
CICLING
2003
Springer
15 years 8 months ago
A Maximum Entropy Approach for Spoken Chinese Understanding
: In this paper, we present a spoken language understanding method based on the maximum entropy model. We first extract certain features from the corpus, and then train the maximum...
Guodong Xie, Chengqing Zong, Bo Xu
131
Voted
ICASSP
2011
IEEE
14 years 7 months ago
A novel analytical approach to orthogonal bases extraction from AM-FM signals
This paper presents a new method for extracting orthogonal bases from AM-FM signals. Since AM-FM signals are non-stationary, appropriate basis functions are sought provided that i...
Mohammadali Sebghati, Hamidreza Amindavar
150
Voted
KI
2010
Springer
15 years 1 months ago
Local Adaptive Extraction of References
Abstract. The accurate extraction of scholarly reference information from scientific publications is essential for many useful applications like BIBTEX management systems or citati...
Peter Klügl, Andreas Hotho, Frank Puppe