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» Correlational spectral clustering
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DCC
2005
IEEE
15 years 9 months ago
Lossless Hyperspectral Image Compression Using Context-Based Conditional Averages
In this paper, we propose a compression algorithm focused on the peculiarities of hyperspectral images. The spectral redundancy in hyperspectral images is exploited by using a con...
Hongqiang Wang, S. Derin Babacan, Khalid Sayood
79
Voted
ICIP
2000
IEEE
15 years 11 months ago
Higher-Order Spectral Analysis of Human Motion
We describe a higher-orderspectralanalysis-basedapproach for detecting people by recognizing human motion such as walking or running. The periodic attribute of human motion lends ...
A. N. Rajagopalan, Rama Chellappa
LREC
2008
129views Education» more  LREC 2008»
14 years 11 months ago
Spectral Clustering for a Large Data Set by Reducing the Similarity Matrix Size
Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the simil...
Hiroyuki Shinnou, Minoru Sasaki
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 1 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
39
Voted
TIT
2008
51views more  TIT 2008»
14 years 9 months ago
Spectral Relations for Multidimensional Complex Improper Stationary and (Almost) Cyclostationary Processes
Abstract--We study continuous-time multidimensional widesense stationary (WSS) and (almost) cyclostationary processes in the frequency domain. Under the assumption that the correla...
Patrik Wahlberg, Peter J. Schreier