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» Combining Two Data Mining Methods for System Identification
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122
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ICCCN
2008
IEEE
15 years 9 months ago
Multi-Modal Target Tracking Using Heterogeneous Sensor Networks
Abstract— The paper describes a target tracking system running on a Heterogeneous Sensor Network (HSN) and presents results gathered from a realistic deployment. The system fuses...
Manish Kushwaha, Isaac Amundson, Péter V&ou...
SISAP
2009
IEEE
134views Data Mining» more  SISAP 2009»
15 years 9 months ago
Searching by Similarity and Classifying Images on a Very Large Scale
—In the demonstration we will show a system for searching by similarity and automatically classifying images in a very large dataset. The demonstrated techniques are based on the...
Giuseppe Amato, Pasquale Savino
SDM
2007
SIAM
122views Data Mining» more  SDM 2007»
15 years 3 months ago
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thoma...
136
Voted
PODC
2006
ACM
15 years 8 months ago
Sketching asynchronous streams over a sliding window
We study the problem of maintaining sketches of recent elements of a data stream. Motivated by applications involving network data, we consider streams that are asynchronous, in w...
Srikanta Tirthapura, Bojian Xu, Costas Busch
155
Voted
TC
2008
15 years 1 months ago
Power and Area-Efficient Unified Computation of Vector and Elementary Functions for Handheld 3D Graphics Systems
A unified computation method of vector and elementary functions is proposed for handheld 3D graphics systems. It unifies vector operations like vector multiply, multiply-and-add, d...
Byeong-Gyu Nam, Hyejung Kim, Hoi-Jun Yoo