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» Data Aggregation Sets in Adaptive Data Model
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CVPR
2005
IEEE
16 years 7 months ago
Simultaneous Modeling and Tracking (SMAT) of Feature Sets
A novel method for the simultaneous modeling and tracking (SMAT) of a feature set during motion sequence is proposed. The method requires no prior information. Instead the a poste...
N. D. H. Dowson, Richard Bowden
CVPR
2007
IEEE
16 years 7 months ago
Online Spatial-temporal Data Fusion for Robust Adaptive Tracking
One problem with the adaptive tracking is that the data that are used to train the new target model often contain errors and these errors will affect the quality of the new target...
Jixu Chen, Qiang Ji
TKDE
2002
148views more  TKDE 2002»
15 years 4 months ago
Parallel Star Join + DataIndexes: Efficient Query Processing in Data Warehouses and OLAP
On-Line Analytical Processing (OLAP) refers to the technologies that allow users to efficiently retrieve data from the data warehouse for decision-support purposes. Data warehouses...
Anindya Datta, Debra E. VanderMeer, Krithi Ramamri...
160
Voted
DEXA
2003
Springer
147views Database» more  DEXA 2003»
15 years 10 months ago
Context-Aware Data Mining Framework for Wireless Medical Application
Abstract. Data mining, which aims at extracting interesting information from large collections of data, has been widely used as an effective decision making tool. Mining the datas...
Pravin Vajirkar, Sachin Singh, Yugyung Lee
CCS
2006
ACM
15 years 8 months ago
Secure hierarchical in-network aggregation in sensor networks
In-network aggregation is an essential primitive for performing queries on sensor network data. However, most aggregation algorithms assume that all intermediate nodes are trusted...
Haowen Chan, Adrian Perrig, Dawn Xiaodong Song