Sciweavers

Share
16 search results - page 1 / 4
» Local Discriminant Embedding and Its Variants
Sort
View
CVPR
2005
IEEE
10 years 2 months ago
Local Discriminant Embedding and Its Variants
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
Hwann-Tzong Chen, Huang-Wei Chang, Tyng-Luh Liu
ICIP
2006
IEEE
10 years 1 months ago
Local Discriminant Embedding with Tensor Representation
We present a subspace learning method, called Local Discriminant Embedding with Tensor representation (LDET), that addresses simultaneously the generalization and data representat...
Jian Xia, Dit-Yan Yeung, Guang Dai
IJON
2016
54views more  IJON 2016»
3 years 8 months ago
An unsupervised discriminative extreme learning machine and its applications to data clustering
Extreme Learning Machine (ELM), which was initially proposed for training single-layer feed-forward networks (SLFNs), provides us a unified efficient and effective framework for...
Yong Peng, Wei-Long Zheng, Bao-Liang Lu
CVPR
2008
IEEE
10 years 2 months ago
Discriminative local binary patterns for human detection in personal album
In recent years, local pattern based object detection and recognition have attracted increasing interest in computer vision research community. However, to our best knowledge no p...
Yadong Mu, Shuicheng Yan, Yi Liu, Thomas S. Huang,...
IBPRIA
2003
Springer
9 years 5 months ago
Supervised Locally Linear Embedding Algorithm for Pattern Recognition
The dimensionality of the input data often far exceeds their intrinsic dimensionality. As a result, it may be difficult to recognize multidimensional data, especially if the number...
Olga Kouropteva, Oleg Okun, Matti Pietikäinen
books