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» Evaluating algorithms that learn from data streams
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GLOBECOM
2006
IEEE
15 years 6 months ago
Algorithms for Server Placement in Multiple-Description-Based Media Streaming
— Multiple description coding (MDC) has emerged as a powerful technique for reliable real-time communications over lossy packet networks. In its basic form, it involves encoding ...
Satyajeet Ahuja, Marwan Krunz
ICTAI
2008
IEEE
15 years 7 months ago
Real-Time Classification of Streaming Sensor Data
The last decade has seen a huge interest in classification of time series. Most of this work assumes that the data resides in main memory and is processed offline. However, recent...
Shashwati Kasetty, Candice Stafford, Gregory P. Wa...
88
Voted
JCP
2006
118views more  JCP 2006»
15 years 17 days ago
Learning a Classification-based Glioma Growth Model Using MRI Data
Gliomas are malignant brain tumors that grow by invading adjacent tissue. We propose and evaluate a 3D classification-based growth model, CDM, that predicts how a glioma will grow ...
Marianne Morris, Russell Greiner, Jörg Sander...
121
Voted
CVPR
2004
IEEE
16 years 2 months ago
An Unsupervised, Online Learning Framework for Moving Object Detection
Object detection with a learned classifier has been applied successfully to difficult tasks such as detecting faces and pedestrians. Systems using this approach usually learn the ...
Vinod Nair, James J. Clark
150
Voted
JDCTA
2010
228views more  JDCTA 2010»
14 years 7 months ago
Research and Progress of Cluster Algorithms based on Granular Computing
Granular Computing (GrC), a knowledge-oriented computing which covers the theory of fuzzy information granularity, rough set theory, the theory of quotient space and interval comp...
Shifei Ding, Li Xu, Hong Zhu, Liwen Zhang