1051 search results - page 74 / 211 » An algorithm for the principal component analysis of large d... |
154
click to vote
ICTAI
2006
IEEE
15 years 10 months ago
2006
IEEE
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
146
click to vote
CIKM
2009
Springer
15 years 11 months ago
2009
Springer
Emergence of the web and online computing applications gave rise to rich large scale social activity data. One of the principal challenges then is to build models and understandin...
142
click to vote
ICIP
2005
IEEE
15 years 10 months ago
2005
IEEE
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
124
Voted
SMI
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper presents a new multiview alignment algorithm that performs both the coarse and fine alignment of unordered sets of range scans. Our algorithm selects quadruples of ran...
127
click to vote
IJCNN
2007
IEEE
15 years 10 months ago
2007
IEEE
— In this paper a clustering algorithm that learns the groups of synchronized spike trains directly from data is proposed. Clustering of spike trains based on the presence of syn...