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» Complexity of Reasoning over Temporal Data Models
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CEC
2005
IEEE
15 years 9 months ago
Using temporal information distance to locate sensorimotor experience in a metric space
Information distance is used to measure how similar sensorimotor experience is to past experience within a certain temporal horizon. Applied to groups of sensors this gives a mathe...
Naeem Assif Mirza, Chrystopher L. Nehaniv, Kerstin...
AUSDM
2008
Springer
227views Data Mining» more  AUSDM 2008»
15 years 5 months ago
Exploratory Mining over Organisational Communications Data
Exploratory data mining is fundamental to fostering an appreciation of complex datasets. For large and continuously growing datasets, such as obtained by regular sampling of an or...
Alan Allwright, John F. Roddick
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 6 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
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...
Michael Hahsler, Margaret H. Dunham
GIS
2006
ACM
16 years 4 months ago
Analyzing theme, space, and time: an ontology-based approach
The W3C's Semantic Web Activity is illustrating the use of semantics for information integration, search, and analysis. However, the majority of the work in this community ha...
Matthew Perry, Farshad Hakimpour, Amit P. Sheth
ICIP
2007
IEEE
16 years 5 months ago
Monocular Tracking 3D People By Gaussian Process Spatio-Temporal Variable Model
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
Junbiao Pang, Laiyun Qing, Qingming Huang, Shuqian...