1956 search results - page 49 / 392 » Learning the Relative Importance of Features in Image Data |
TSE
2010
13 years 7 months ago
2010
—In this paper, we explore the concept of code readability and investigate its relation to software quality. With data collected from 120 human annotators, we derive associations...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
ISMDA
2005
Springer
14 years 2 months ago
2005
Springer
The large number of genes in microarray data makes feature selection techniques more crucial than ever. From various ranking-based filter procedures to classifier-based wrapper tec...
DICTA
2003
13 years 10 months ago
2003
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...
KDD
2010
ACM
14 years 15 days ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...