5131 search results - page 65 / 1027 » Heterogeneous Component Analysis |
99
Voted
AIPR
2003
IEEE
15 years 5 months ago
2003
IEEE
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction off...
109
Voted
COMPSAC
2003
IEEE
15 years 5 months ago
2003
IEEE
The parameters in these software reliability models are usually directly obtained from the field failure data. Due to the dynamic properties of the system and the insufficiency of...
89
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
We consider feature extraction (dimensionality reduction) for compositional data, where the data vectors are constrained to be positive and constant-sum. In real-world problems, t...
118
Voted
COMPLIFE
2006
Springer
15 years 4 months ago
2006
Springer
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
162
Voted
PAMI
2012
13 years 3 months ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...