561 search results - page 75 / 113 » Visual Learning by Integrating Descriptive and Generative Me... |
135
Voted
SIGMOD
2012
ACM
13 years 5 months ago
2012
ACM
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...
126
Voted
CICLING
2010
Springer
15 years 9 months ago
2010
Springer
Binary semantic relation extraction from Wikipedia is particularly useful for various NLP and Web applications. Currently frequent pattern miningbased methods and syntactic analysi...
152
Voted
BIBM
2009
IEEE
15 years 11 days ago
2009
IEEE
Abstract--Medical image segmentation has become an essential technique in clinical and research-oriented applications. Because manual segmentation methods are tedious, and fully au...
120
Voted
UAI
2008
15 years 4 months ago
2008
A graphical multiagent model (GMM) represents a joint distribution over the behavior of a set of agents. One source of knowledge aboutagents'behaviormaycomefromgametheoretic ...
130
Voted
HIS
2004
15 years 3 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...