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» Adaptive Sampling for Noisy Problems
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NOMS
2006
IEEE
105views Communications» more  NOMS 2006»
14 years 1 months ago
Adaptive Flow Aggregation - A New Solution for Robust Flow Monitoring under Security Attacks
— Flow-level traffic measurement is required for a wide range of applications including accounting, network planning and security management. A key design challenge is how to gr...
Yan Hu, Dah-Ming Chiu, John C. S. Lui
ML
2000
ACM
103views Machine Learning» more  ML 2000»
13 years 7 months ago
Nonparametric Time Series Prediction Through Adaptive Model Selection
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
Ron Meir
PRL
2011
13 years 2 months ago
Consistency of functional learning methods based on derivatives
In some real world applications, such as spectrometry, functional models achieve better predictive performances if they work on the derivatives of order m of their inputs rather t...
Fabrice Rossi, Nathalie Villa-Vialaneix
KDD
2005
ACM
182views Data Mining» more  KDD 2005»
14 years 8 months ago
Making holistic schema matching robust: an ensemble approach
The Web has been rapidly "deepened" by myriad searchable databases online, where data are hidden behind query interfaces. As an essential task toward integrating these m...
Bin He, Kevin Chen-Chuan Chang
ICMCS
2005
IEEE
139views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Rapid Feature Space Speaker Adaptation for Multi-Stream HMM-Based Audio-Visual Speech Recognition
Multi-stream hidden Markov models (HMMs) have recently been very successful in audio-visual speech recognition, where the audio and visual streams are fused at the final decision...
Jing Huang, Etienne Marcheret, Karthik Visweswaria...