779 search results - page 21 / 156 » Multi-Instance Dimensionality Reduction |
129
Voted
AI
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. We present a performance analysis of three linear dimensionality reduction techniques: Fisher's discriminant analysis (FDA), and two methods introduced recently base...
104
click to vote
CIARP
2006
Springer
15 years 6 months ago
2006
Springer
Linear dimensionality reduction (LDR) is quite important in pattern recognition due to its efficiency and low computational complexity. In this paper, we extend the two-class Chern...
117
click to vote
ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
140
Voted
IS
2008
15 years 2 months ago
2008
We propose a dimensionality reduction technique for time series analysis that significantly improves the efficiency and accuracy of similarity searches. In contrast to piecewise c...
116
click to vote
PKDD
2010
Springer
15 years 27 days ago
2010
Springer
Abstract. Principal component analysis (PCA) and its dual—principal coordinate analysis (PCO)—are widely applied to unsupervised dimensionality reduction. In this paper, we sho...