2200 search results - page 16 / 440 » Objective reduction using a feature selection technique |
ICPR
2000
IEEE
14 years 10 months ago
2000
IEEE
Motion segmentation using feature correspondences can be regarded as a combinatorial problem. A motion segmentation algorithm using feature selection and subspace method is propos...
JMM2
2008
13 years 9 months ago
2008
Unsupervised or Self-Organized learning algorithms have become very popular for discovery of significant patterns or features in the input data. The three prominent algorithms name...
ACSC
2004
IEEE
14 years 25 days ago
2004
IEEE
Types are fundamental for enforcing levels of abstraction in modern high-level programming languages and their lower-level representations. However, some type-related features suc...
ISQED
2007
IEEE
14 years 3 months ago
2007
IEEE
Due to the shrinking of feature size and reduction in supply voltages, nanoscale circuits have become more susceptible to radiation induced transient faults. In this paper, we use...
JIFS
2002
13 years 8 months ago
2002
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...