116 search results - page 10 / 24 » Dimensionality reduction techniques for proximity problems |
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and visual recognition. However, such descriptors are generally par...
AAAI
2008
13 years 10 months ago
2008
We are interested in the problem of reasoning over very large common sense knowledge bases. When such a knowledge base contains noisy and subjective data, it is important to have ...
CSB
2003
IEEE
14 years 25 days ago
2003
IEEE
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
GLVLSI
2003
IEEE
14 years 25 days ago
2003
IEEE
Power-awareness indicates the scalability of the system energy with changing conditions and quality requirements. Multipliers are essential elements used in DSP applications and c...