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» Multi-Class Linear Feature Extraction by Nonlinear PCA
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ESANN
1998
14 years 11 months ago
Speech recognition with a new hybrid architecture combining neural networks and continuous HMM
Abstract. In this paper, we focus on a novel NN/HMM architecture for continuous speech recognition. The architecture incorporates a neural feature extraction to gain more discrimin...
Daniel Willett, Gerhard Rigoll
3DPVT
2006
IEEE
186views Visualization» more  3DPVT 2006»
15 years 3 months ago
Range Image Registration Based on Circular Features
Range sensing technology allows the photo-realistic modeling of large-scale scenes, such as urban structures. A major bottleneck in the process of 3D scene acquisition is the auto...
Cecilia Chao Chen, Ioannis Stamos
CVPR
2010
IEEE
15 years 2 months ago
Bayes Optimal Kernel Discriminant Analysis
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
Di You, Aleix Martinez
PAMI
1998
84views more  PAMI 1998»
14 years 9 months ago
Intrinsic Dimensionality Estimation With Optimally Topology Preserving Maps
A new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is to rst extract a low-d...
Jörg Bruske, Gerald Sommer
WILF
2005
Springer
112views Fuzzy Logic» more  WILF 2005»
15 years 3 months ago
NEC for Gene Expression Analysis
Aim of this work is to apply a novel comprehensive machine learning tool for data mining to preprocessing and interpretation of gene expression data. Furthermore, some visualizatio...
Roberto Amato, Angelo Ciaramella, N. Deniskina, Ca...