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CORR
2012
Springer
225views Education» more  CORR 2012»
12 years 6 hour ago
The Filter-Placement Problem and its Application to Minimizing Information Multiplicity
In many information networks, data items – such as updates in social networks, news flowing through interconnected RSS feeds and blogs, measurements in sensor networks, route u...
Dóra Erdös, Vatche Ishakian, Andrei La...
BMCBI
2010
182views more  BMCBI 2010»
13 years 4 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
MVA
2007
129views Computer Vision» more  MVA 2007»
13 years 5 months ago
Multi Human Trajectory Estimation Using Stochastic Sampling and Its Application to Meeting Recognition
In this paper we present a stochastic sampling approach to estimate multiple human trajectory in the meeting. The algorithm is formalized as a energy minimization problem based on...
Yosuke Matsusaka, Hideki Asoh, Futoshi Asano
SUTC
2006
IEEE
13 years 10 months ago
Schedules with Minimized Access Latency for Disseminating Dependent Information on Multiple Channels
In wireless mobile environments, data broadcasting is an effective approach to disseminate information to mobile clients. In some applications, the access pattern of all the data...
Kun-Feng Lin, Chuan-Ming Liu
IDA
2010
Springer
13 years 2 months ago
Multi-dimensional data construction method with its application to learning from small-sample-sets
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
Hsiao-Fan Wang, Chun-Jung Huang