1769 search results - page 260 / 354 » Prediction on Spike Data Using Kernel Algorithms |
SODA
2001
ACM
13 years 10 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
In this paper we address multi-view reconstruction of urban environments using 3D shape grammars. Our formulation expresses the solution to the problem as a shape grammar parse tr...
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
KDD
2012
ACM
11 years 11 months ago
2012
ACM
Advanced technology in GPS and sensors enables us to track physical events, such as human movements and facility usage. Periodicity analysis from the recorded data is an important...
WSDM
2012
ACM
12 years 4 months ago
2012
ACM
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...