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ICPR
2008
IEEE
16 years 7 months ago
Multiclass spectral clustering based on discriminant analysis
Many existing spectral clustering algorithms share a conventional graph partitioning criterion: normalized cuts (NC). However, one problem with NC is that it poorly captures the g...
Xi Li, Zhongfei Zhang, Yanguo Wang, Weiming Hu
ICPR
2002
IEEE
16 years 7 months ago
Optical Snow and the Aperture Problem
Classical studies of measuring image motion by computer have concentrated on the case of optical flow, in which there is a unique velocity near each point of the image. In [5], we...
Richard Mann, Michael S. Langer
ICML
2006
IEEE
16 years 7 months ago
Learning low-rank kernel matrices
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...
Brian Kulis, Inderjit S. Dhillon, Máty&aacu...
ICML
2005
IEEE
16 years 7 months ago
Analysis and extension of spectral methods for nonlinear dimensionality reduction
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...
Fei Sha, Lawrence K. Saul
EDBT
2004
ACM
126views Database» more  EDBT 2004»
16 years 6 months ago
Spatial Queries in the Presence of Obstacles
Despite the existence of obstacles in many database applications, traditional spatial query processing utilizes the Euclidean distance metric assuming that points in space are dire...
Jun Zhang, Dimitris Papadias, Kyriakos Mouratidis,...