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» Improving Cause Detection Systems with Active Learning
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ICASSP
2010
IEEE
13 years 10 months ago
Leveraging evaluation metric-related training criteria for speech summarization
Many of the existing machine-learning approaches to speech summarization cast important sentence selection as a two-class classification problem and have shown empirical success f...
Shih-Hsiang Lin, Yu-Mei Chang, Jia-Wen Liu, Berlin...
IMC
2009
ACM
14 years 4 months ago
Moving beyond end-to-end path information to optimize CDN performance
Replicating content across a geographically distributed set of servers and redirecting clients to the closest server in terms of latency has emerged as a common paradigm for impro...
Rupa Krishnan, Harsha V. Madhyastha, Sridhar Srini...
ECML
2005
Springer
14 years 3 months ago
A Model Based Method for Automatic Facial Expression Recognition
Automatic facial expression recognition is a research topic with interesting applications in the field of human-computer interaction, psychology and product marketing. The classi...
Hans van Kuilenburg, Marco Wiering, Marten den Uyl
HAPTICS
2009
IEEE
14 years 4 months ago
Progressive shared control for training in virtual environments
Virtual environments (VEs) with haptic feedback not only provide a safe and versatile practice medium for many manual control tasks, but also promise to improve the efficacy of m...
Yanfang Li, Joel C. Huegel, Volkan Patoglu, Marcia...
INFOCOM
2003
IEEE
14 years 3 months ago
User-Level Performance of Channel-Aware Scheduling Algorithms in Wireless Data Networks
— Channel-aware scheduling strategies, such as the Proportional Fair algorithm for the CDMA 1xEV-DO system, provide an effective mechanism for improving throughput performance in...
Sem C. Borst