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» Evaluating algorithms that learn from data streams
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MLMI
2004
Springer
16 years 1 months ago
Towards Predicting Optimal Fusion Candidates: A Case Study on Biometric Authentication Tasks
Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extend in various real-life applications. ...
Norman Poh, Samy Bengio
DAWAK
2009
Springer
16 years 2 months ago
Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...
Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Z...
MOBIWAC
2006
ACM
16 years 1 months ago
Sink mobility protocols for data collection in wireless sensor networks
In wireless sensor networks data propagation is usually performed by sensors transmitting data towards a static control center (sink). Inspired by important applications (mostly r...
Ioannis Chatzigiannakis, Athanasios Kinalis, Sotir...
WOWMOM
2005
ACM
127views Multimedia» more  WOWMOM 2005»
16 years 1 months ago
Game Theoretic Power Aware Wireless Data Access
Abstract—This paper examines the following wireless data access scenario: a number of clients are interested in a set of data items kept at the server. A client sends a query req...
Mark Kai Ho Yeung, Yu-Kwong Kwok
IWPC
2010
IEEE
15 years 6 months ago
Using Data Fusion and Web Mining to Support Feature Location in Software
—Data fusion is the process of integrating multiple sources of information such that their combination yields better results than if the data sources are used individually. This ...
Meghan Revelle, Bogdan Dit, Denys Poshyvanyk