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ECCV
2010
Springer
15 years 6 months ago
Learning Pre-attentive Driving Behaviour from Holistic Visual Features
Abstract. The aim of this paper is to learn driving behaviour by associating the actions recorded from a human driver with pre-attentive visual input, implemented using holistic im...
128
Voted
ICANN
2009
Springer
15 years 9 months ago
Learning Features by Contrasting Natural Images with Noise
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
Michael Gutmann, Aapo Hyvärinen
111
Voted
WCE
2007
15 years 3 months 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...
SAC
2006
ACM
15 years 8 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
IPMI
2007
Springer
16 years 3 months ago
Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images
A fully learning-based framework has been presented for deformable registration of MR brain images. In this framework, the entire brain is first adaptively partitioned into a numbe...
Guorong Wu, Feihu Qi, Dinggang Shen