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» Evaluating algorithms that learn from data streams
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ICPR
2006
IEEE
16 years 5 months ago
A maximum margin discriminative learning algorithm for temporal signals
We propose a new maximum margin discriminative learning algorithm here for classification of temporal signals. It is superior to conventional HMM in the sense that it does not nee...
Wenjie Xu, Jiankang Wu, Zhiyong Huang
IJCNN
2006
IEEE
15 years 10 months ago
Nominal-scale Evolving Connectionist Systems
— A method is presented for extending the Evolving Connectionist System (ECoS) algorithm that allows it to explicitly represent and learn nominal-scale data without the need for ...
Michael J. Watts
CE
2007
96views more  CE 2007»
15 years 4 months ago
Mobile learning: A framework and evaluation
Wireless data communications in form of Short Message Service (SMS) and Wireless Access Protocols (WAP) browsers have gained global popularity, yet, not much has been done to exte...
Luvai F. Motiwalla
DSN
2006
IEEE
15 years 10 months ago
Improving the Fault Resilience of Overlay Multicast for Media Streaming
This paper addresses the problem of fault resilience of overlay-based live media streaming from two aspects: (1) how to construct a stable multicast tree that minimizes the negati...
Guang Tan, Stephen A. Jarvis, Daniel P. Spooner
ICDE
1996
IEEE
124views Database» more  ICDE 1996»
16 years 5 months ago
Automating the Assembly of Presentations from Multimedia Databases
A multimedia presentation refers to the presentation of multimedia data using output devices such as monitors for text and video, and speakers for audio. Each presentation consist...
Gultekin Özsoyoglu, Joel Kraft, Veli Hakkoyma...