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» Computational Experience with the Batch Means Method
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CIKM
2009
Springer
14 years 9 months ago
Measuring system performance and topic discernment using generalized adaptive-weight mean
Standard approaches to evaluating and comparing information retrieval systems compute simple averages of performance statistics across individual topics to measure the overall sys...
Chung Tong Lee, Vishwa Vinay, Eduarda Mendes Rodri...
IJCNN
2008
IEEE
15 years 6 months ago
Incremental Common Spatial Pattern algorithm for BCI
— A major challenge in applying machine learning methods to Brain-Computer Interfaces (BCIs) is to overcome the on-line non-stationarity of the data blocks. An effective BCI syst...
Qibin Zhao, Liqing Zhang, Andrzej Cichocki, Jie Li
ATAL
2008
Springer
15 years 1 months ago
Programming agents as a means of capturing self-strategy
In this paper we report results of an extensive evaluation of people's ability to reproduce the strategies they use in simple real-life settings. Having the ability to reliab...
Michal Chalamish, David Sarne, Sarit Kraus
ISWC
2006
IEEE
15 years 5 months ago
Experience Map Creation by Virtual WLAN Location Estimation
We propose a non-cumbersome automatic location estimation method based on an easily accessible infrastructure: the 802.11 LAN. The method consists of two phases: a map-preparation...
Kenji Matsuzawa, Kenji Mase, Yasushi Hirano, Shoji...
CVPR
2011
IEEE
14 years 7 months ago
Learning the Easy Things First: Self-Paced Visual Category Discovery
Objects vary in their visual complexity, yet existing discovery methods perform “batch” clustering, paying equal attention to all instances simultaneously—regardless of the ...
Yong Jae Lee, Kristen Grauman