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» Sampling Techniques for Kernel Methods
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AAAI
2000
14 years 11 months ago
Interactive Training for Synthetic Characters
Compelling synthetic characters must behave in ways that reflect their past experience and thus allow for individual personalization. We therefore need a method that allows charac...
Song-Yee Yoon, Robert C. Burke, Bruce Blumberg, Ge...
TOG
2012
184views Communications» more  TOG 2012»
13 years 10 days ago
Point sampling with general noise spectrum
Point samples with different spectral noise properties (often defined using color names such as white, blue, green, and red) are important for many science and engineering discip...
Yahan Zhou, Haibin Huang, Li-Yi Wei, Rui Wang
99
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APWEB
2006
Springer
15 years 1 months ago
Sample Sizes for Query Probing in Uncooperative Distributed Information Retrieval
The goal of distributed information retrieval is to support effective searching over multiple document collections. For efficiency, queries should be routed to only those collectio...
Milad Shokouhi, Falk Scholer, Justin Zobel
RTCSA
2007
IEEE
15 years 4 months ago
Activity Recognition Based on Semi-supervised Learning
Activity recognition is a hot topic in context-aware computing. In activity recognition, machine learning techniques have been widely applied to learn the activity models from lab...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
INFOCOM
2010
IEEE
14 years 8 months ago
A Frequency Domain Model to Predict the Estimation Accuracy of Packet Sampling
—In network measurement systems, packet sampling techniques are usually adopted to reduce the overall amount of data to collect and process. Being based on a subset of packets, t...
Luigi Alfredo Grieco, Chadi Barakat