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SSIAI
2000
IEEE
14 years 1 days ago
Hybrid Hidden Markov Model for Face Recognition
In this paper, we introduce a Hybrid Hidden Markov Model (HMM) face recognition system. The proposed system contains a low-complexity 2-D HMM-based face recognition (LC 2D-HMM FR)...
Hisham Othman, Tyseer Aboulnasr
PAMI
2006
227views more  PAMI 2006»
13 years 7 months ago
Matching 2.5D Face Scans to 3D Models
The performance of face recognition systems that use two-dimensional images depends on factors such as lighting and subject's pose. We are developing a face recognition system...
Xiaoguang Lu, Anil K. Jain, Dirk Colbry
INTERSPEECH
2010
13 years 2 months ago
Predicting word accuracy for the automatic speech recognition of non-native speech
We have developed an automated method that predicts the word accuracy of a speech recognition system for non-native speech, in the context of speaking proficiency scoring. A model...
Su-Youn Yoon, Lei Chen, Klaus Zechner
BMCBI
2010
105views more  BMCBI 2010»
13 years 7 months ago
A knowledge-guided strategy for improving the accuracy of scoring functions in binding affinity prediction
Background: Current scoring functions are not very successful in protein-ligand binding affinity prediction albeit their popularity in structure-based drug designs. Here, we propo...
Tiejun Cheng, Zhihai Liu, Renxiao Wang
ICPR
2008
IEEE
14 years 2 months ago
Hallucinating facial images and features
In facial image analysis, image resolution is an important factor which has great influence on the performance of face recognition systems. As for lowresolution face recognition p...
Bo Li, Hong Chang, Shiguang Shan, Xilin Chen, Wen ...