1658 search results - page 145 / 332 » Learning Unknown Graphs |
101
Voted
CAINE
2008
15 years 4 months ago
2008
This paper presents a novel method for learning from a labeled dataset to accurately classify unknown data. The recursive algorithm, termed Recursive Hyperspheric Classification, ...
120
Voted
ATAL
2010
Springer
15 years 3 months ago
2010
Springer
Experimental analysis of networks of cooperative learning agents (to verify certain properties such as the system's stability) has been commonly used due to the complexity of...
137
Voted
AGTIVE
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. In this short paper we describe the setup and results of a new initiative to compare graph transformation tools, carried out as part of the AGTIVE 2007 symposium on “Ap...
115
Voted
IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
125
Voted
ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
In this paper, we propose a novel graph embedding method for the problem of lipreading. To characterize the temporal connections among video frames of the same utterance, a new di...