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» Linear Regression for Face Recognition
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WCE
2007
15 years 29 days ago
Feature Reconstruction for Face Recognition Based on Sample Image Learning
—Pose problem is a big challenge for applying face recognition technology under real world conditions. In this paper, appearance based approach was proposed to recognize face acr...
Hongzhou Zhang, Yongping Li, Lin Wang, Chengbo Wan...
CASES
2007
ACM
15 years 3 months ago
Application driven embedded system design: a face recognition case study
The key to increasing performance without a commensurate increase in power consumption in modern processors lies in increasing both parallelism and core specialization. Core speci...
Karthik Ramani, Al Davis
AMC
2005
128views more  AMC 2005»
14 years 11 months ago
A new face recognition method based on SVD perturbation for single example image per person
At present, there are many methods for frontal view face recognition. However, few of them can work well when only one example image per class is available. In this paper, we pres...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
ICASSP
2008
IEEE
15 years 6 months ago
Improved GMM-based language recognition using constrained MLLR transforms
In this paper we describe the application of a feature-space transform based on constrained maximum likelihood linear regression for unsupervised compensation of channel and speak...
Wade Shen, Douglas A. Reynolds
ICMLA
2008
15 years 1 months ago
Graph-Based Multilevel Dimensionality Reduction with Applications to Eigenfaces and Latent Semantic Indexing
Dimension reduction techniques have been successfully applied to face recognition and text information retrieval. The process can be time-consuming when the data set is large. Thi...
Sophia Sakellaridi, Haw-ren Fang, Yousef Saad