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ICML
2005
IEEE
16 years 4 months ago
Statistical and computational analysis of locality preserving projection
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
Xiaofei He, Deng Cai, Wanli Min
ACIVS
2006
Springer
15 years 10 months ago
Dedicated Hardware for Real-Time Computation of Second-Order Statistical Features for High Resolution Images
We present a novel dedicated hardware system for the extraction of second-order statistical features from high-resolution images. The selected features are based on gray level co-o...
Dimitris G. Bariamis, Dimitrios K. Iakovidis, Dimi...
SIBGRAPI
2005
IEEE
15 years 9 months ago
A Maximum Uncertainty LDA-Based Approach for Limited Sample Size Problems : With Application to Face Recognition
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and instability of the within-class scatter matrix. In practice, particularly in image recog...
Carlos E. Thomaz, Duncan Fyfe Gillies
DAC
1996
ACM
15 years 8 months ago
A Sparse Image Method for BEM Capacitance Extraction
Boundary element methods (BEM) are often used for complex 3-D capacitance extraction because of their efficiency, ease of data preparation, and automatic handling of open regions. ...
Byron Krauter, Yu Xia, E. Aykut Dengi, Lawrence T....
NIPS
2008
15 years 5 months ago
Regularized Co-Clustering with Dual Supervision
By attempting to simultaneously partition both the rows (examples) and columns (features) of a data matrix, Co-clustering algorithms often demonstrate surprisingly impressive perf...
Vikas Sindhwani, Jianying Hu, Aleksandra Mojsilovi...