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INFORMATICALT
2010
122views more  INFORMATICALT 2010»
15 years 1 months ago
On a Time-Varying Parameter Adaptive Self-Organizing System in the Presence of Large Outliers in Observations
In the previous papers (Pupeikis, 2000; Genov et al., 2006; Atanasov and Pupeikis, 2009), a direct approach for estimating the parameters of a discrete-time linear time-invariant (...
Rimantas Pupeikis
161
Voted
CVPR
2012
IEEE
13 years 5 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
128
Voted
VISUALIZATION
1995
IEEE
15 years 6 months ago
An Integrated Approach for Steering, Visualization, and Analysis of Atmospheric Simulations
In the research described here, we have constructed at tightly coupled set of methods for monitoring, steering, and applying visual analysis to large scale simulations. This work ...
Yves Jean, Thomas Kindler, William Ribarsky, Weimi...
ESANN
2007
15 years 4 months ago
Structured reservoir computing with spatiotemporal chaotic attractors
Abstract. We approach the themes “computing with chaos” and “reservoir computing” in a unified setting. Different neural architectures are mentioned which display chaotic...
Carlos Lourenço
BMCBI
2008
115views more  BMCBI 2008»
15 years 2 months ago
Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data
Background: Time-course microarray experiments are being increasingly used to characterize dynamic biological processes. In these experiments, the goal is to identify genes differ...
Sudhakar Jonnalagadda, Rajagopalan Srinivasan