101 search results - page 13 / 21 » Learning to Cluster Using High Order Graphical Models with L... |
163
Voted
SDM
2011
SIAM
14 years 5 months ago
2011
SIAM
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
120
Voted
UAI
2008
15 years 4 months ago
2008
We introduce a new type of graphical model called a `cumulative distribution network' (CDN), which expresses a joint cumulative distribution as a product of local functions. ...
126
Voted
BMCBI
2010
15 years 2 months ago
2010
Background: Matrix metalloproteinases (MMPs) are well-known biological targets implicated in tumour progression, homeostatic regulation, innate immunity, impaired delivery of pro-...
120
Voted
JETAI
1998
15 years 2 months ago
1998
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
103
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CVPR
2006
IEEE
16 years 4 months ago
2006
IEEE
An activity consists of an actor performing a series of actions in a pre-defined temporal order. An action is an individual atomic unit of an activity. Different instances of the ...