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» Knowledge Extraction from Local Function Networks
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ICASSP
2010
IEEE
14 years 11 months ago
A shape-based framework to segmentation of tongue contours from MRI data
DIn this paper 1 , we propose a shape-based variational framework to curve evolution for the segmentation of tongue contours from MRI mid-sagittal images. In particular, we first...
Ting Peng, Erwan Kerrien, Marie-Odile Berger
83
Voted
WOWMOM
2005
ACM
115views Multimedia» more  WOWMOM 2005»
15 years 4 months ago
Precise Distributed Localization Algorithms for Wireless Networks
We propose in this paper reliable and precise distributed localization algorithms for wireless networks: iterative multidimensional scaling (IT-MDS) and simulated annealing multid...
Saad Biaz, Yiming Ji
WWW
2008
ACM
15 years 11 months ago
A differential notion of place for local search
For extracting the characteristics a specific geographic entity, and notably a place, we propose to use dynamic Extreme Tagging Systems in combination with the classic approach of...
Vlad Tanasescu, John Domingue
90
Voted
ICIP
2009
IEEE
15 years 12 months ago
Face Recognition With Salient Local Gradient Orientation Binary Patterns
This paper proposes a new face recognition method. There are two novelties in the proposed method. First, a new saliency measure function is designed to detect the most salient re...
84
Voted
AIIA
2007
Springer
15 years 5 months ago
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Ugo Galassi, Attilio Giordana, Lorenza Saitta