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CCE
2004
15 years 6 months ago
On-line outlier detection and data cleaning
Outliers are observations that do not follow the statistical distribution of the bulk of the data, and consequently may lead to erroneous results with respect to statistical analy...
Hancong Liu, Sirish Shah, Wei Jiang
CVPR
2007
IEEE
16 years 8 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
ERCIMDL
2008
Springer
101views Education» more  ERCIMDL 2008»
15 years 8 months ago
Semantic Interoperability in Archaeological Datasets: Data Mapping and Extraction Via the CIDOC CRM
Findings from a data mapping and extraction exercise undertaken as part of the STAR project are described and related to recent work in the area. The exercise was undertaken in con...
Ceri Binding, Keith May, Douglas Tudhope
MONET
2006
173views more  MONET 2006»
15 years 6 months ago
Exploiting Mobility for Energy Efficient Data Collection in Wireless Sensor Networks
We analyze an architecture based on mobility to address the problem of energy efficient data collection in a sensor network. Our approach exploits mobile nodes present in the senso...
Sushant Jain, Rahul Shah, Waylon Brunette, Gaetano...
TSD
2010
Springer
15 years 5 months ago
Using Gradient Descent Optimization for Acoustics Training from Heterogeneous Data
In this paper, we study the use of heterogeneous data for training of acoustic models. In initial experiments, a significant drop of accuracy has been observed on in-domain test s...
Martin Karafiát, Igor Szöke, Jan Cerno...