50 search results - page 5 / 10 » Restructuring Sparse High Dimensional Data for Effective Ret... |
100
click to vote
BMCBI
2007
14 years 9 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
TKDE
2010
14 years 4 months ago
2010
The sparse data is becoming increasingly common and available in many real-life applications. However, relative little attention has been paid to effectively model the sparse data ...
124
click to vote
BTW
2009
Springer
14 years 10 months ago
2009
Springer
Abstract: Multimedia databases are increasingly common in science, business, entertainment and many other applications. Their size and high dimensionality of features are major cha...
SIGMOD
2002
ACM
15 years 9 months ago
2002
ACM
Applications like multimedia retrieval require efficient support for similarity search on large data collections. Yet, nearest neighbor search is a difficult problem in high dimen...