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» Receptive Field Structures for Recognition
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ICPR
2006
IEEE
15 years 4 months ago
Multiscale Feature Extraction of Finger-Vein Patterns Based on Curvelets and Local Interconnection Structure Neural Network
In this paper, we originally propose a multiscale feature extraction method of finger-vein patterns based on curvelets and local interconnection structure neural networks. The cur...
Zhongbo Zhang, Siliang Ma, Xiao Han
110
Voted
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 2 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
100
Voted
SIGIR
2009
ACM
15 years 4 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero
97
Voted
PR
2008
146views more  PR 2008»
14 years 10 months ago
Integration of local and global geometrical cues for 3D face recognition
We present a unified feature representation of 2.5D pointclouds and apply it to face recognition. The representation integrates local and global geometrical cues in a single compa...
Faisal R. Al-Osaimi, Mohammed Bennamoun, Ajmal S. ...
88
Voted
ICDAR
2003
IEEE
15 years 3 months ago
A Segmentation Method for Bibliographic References by Contextual Tagging of Fields
In this paper, a method based on part-of-speech tagging (PoS) is used for bibliographic reference structure. This method operates on a roughly structured ASCII file, produced by O...
Dominique Besagni, Abdel Belaïd, Nelly Benet