625 search results - page 75 / 125 » Large-scale manifold learning |
DAGM
2004
Springer
14 years 3 months ago
2004
Springer
The goal of our work is object categorization in real-world scenes. That is, given a novel image we want to recognize and localize unseen-before objects based on their similarity t...
ATAL
2006
Springer
14 years 1 months ago
2006
Springer
The DEFACTO system is a multiagent based tool for training incident commanders for large scale disasters. In this paper, we highlight some of the lessons that we have learned from...
ICIP
2010
IEEE
13 years 8 months ago
2010
IEEE
Representation and measurement are two important issues for saliency models. Different with previous works that learnt sparse features from large scale natural statistics, we prop...
KER
2011
13 years 24 days ago
2011
Data mining has become a well established discipline within the domain of Artificial Intelligence (AI) and Knowledge Engineering (KE). It has its roots in machine learning and st...
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
Human activity analysis is an important problem in computer
vision with applications in surveillance and summarization
and indexing of consumer content. Complex human
activities...