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84
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NN
1998
Springer
156views Neural Networks» more  NN 1998»
15 years 10 days ago
Automatic early stopping using cross validation: quantifying the criteria
Cross validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the overtting  ...
Lutz Prechelt
103
Voted
CVPR
2005
IEEE
16 years 2 months ago
Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...
Rong Yan, Milind R. Naphade
103
Voted
VTC
2010
IEEE
145views Communications» more  VTC 2010»
14 years 11 months ago
Performance of Multihop Wireless Links over Generalized-K Fading Channels
— The performance of multihop links is studied in this contribution by both analysis and simulations, when communicating over Generalized-K (KG) fading channels. The performance ...
Jianfei Cao, Lie-Liang Yang, Zhangdui Zhong
114
Voted
TKDE
2008
162views more  TKDE 2008»
15 years 17 days ago
Continuous k-Means Monitoring over Moving Objects
Given a dataset P, a k-means query returns k points in space (called centers), such that the average squared distance between each point in P and its nearest center is minimized. S...
Zhenjie Zhang, Yin Yang, Anthony K. H. Tung, Dimit...
139
Voted
ICC
2009
IEEE
166views Communications» more  ICC 2009»
15 years 7 months ago
A Cross-Layer Perspective on Rateless Coding for Wireless Channels
Abstract—Rateless coding ensures reliability by providing everincreasing redundancy, traditionally at the packet level (i.e. the application layer) through erasure coding. This p...
Thomas A. Courtade, Richard D. Wesel