879 search results - page 161 / 176 » Forecasting high-dimensional data |
BMCBI
2008
14 years 9 months ago
2008
Background: Understanding how proteins fold is essential to our quest in discovering how life works at the molecular level. Current computation power enables researchers to produc...
CVIU
2007
14 years 9 months ago
2007
Tracking articulated structures like a hand or body within a reasonable time is challenging because of the high dimensionality of the state space. Recently, a new optimization met...
TSP
2008
14 years 9 months ago
2008
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
89
Voted
BMCBI
2004
14 years 9 months ago
2004
Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
100
Voted
SAC
2008
ACM
14 years 9 months ago
2008
ACM
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...