Sciweavers

785 search results - page 25 / 157
» Semi-Supervised Dimensionality Reduction
Sort
View
136
Voted
BMVC
2010
15 years 1 months ago
Evaluation of dimensionality reduction methods for image auto-annotation
Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...
Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi
SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
16 years 3 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
161
Voted
WEBI
2010
Springer
15 years 1 months ago
DSP: Robust Semi-supervised Dimensionality Reduction Using Dual Subspace Projections
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
Su Yan, Sofien Bouaziz, Dongwon Lee
NIPS
1992
15 years 4 months ago
Non-Linear Dimensionality Reduction
A method for creating a non
David DeMers, Garrison W. Cottrell
126
Voted
BMCBI
2010
122views more  BMCBI 2010»
15 years 3 months ago
Ovarian cancer classification based on dimensionality reduction for SELDI-TOF data
Background: Recent advances in proteomics technologies such as SELDI-TOF mass spectrometry has shown promise in the detection of early stage cancers. However, dimensionality reduc...
Kai-Lin Tang, Tong-Hua Li, Wen-Wei Xiong, Kai Chen