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ASC
2011
13 years 5 months ago
Handling drifts and shifts in on-line data streams with evolving fuzzy systems
In this paper, we present new approaches to handling drift and shift in on-line data streams with the help of evolving fuzzy systems (EFS), which are characterized by the fact tha...
Edwin Lughofer, Plamen P. Angelov
INFORMATICALT
2008
196views more  INFORMATICALT 2008»
13 years 11 months ago
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang
CLEAR
2006
Springer
145views Biometrics» more  CLEAR 2006»
14 years 2 months ago
A Joint System for Single-Person 2D-Face and 3D-Head Tracking in CHIL Seminars
We present the IBM systems submitted and evaluated within the CLEAR'06 evaluation campaign for the tasks of single person visual 3D tracking (localization) and 2D face trackin...
Gerasimos Potamianos, ZhenQiu Zhang
PKDD
2005
Springer
101views Data Mining» more  PKDD 2005»
14 years 4 months ago
A Random Method for Quantifying Changing Distributions in Data Streams
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
Haixun Wang, Jian Pei
CORR
2012
Springer
210views Education» more  CORR 2012»
12 years 6 months ago
MAV Stabilization using Machine Learning and Onboard Sensors
In many situations, Miniature Aerial Vehicles (MAVs) are limited to using only on-board sensors for navigation. This limits the data available to algorithms used for stabilization...
Jason Yosinski, Cooper Bills