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TNN
2010
159views Management» more  TNN 2010»
15 years 2 months ago
Multiple incremental decremental learning of support vector machines
We propose a multiple incremental decremental algorithm of Support Vector Machine (SVM). Conventional single incremental decremental SVM can update the trained model efficiently w...
Masayuki Karasuyama, Ichiro Takeuchi
TNN
2010
155views Management» more  TNN 2010»
15 years 2 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...
TOG
2010
121views more  TOG 2010»
15 years 2 months ago
Data-driven image color theme enhancement
It is often important for designers and photographers to convey or enhance desired color themes in their work. A color theme is typically defined as a template of colors and an as...
Baoyuan Wang, Yizhou Yu, Tien-Tsin Wong, Chun Chen...
TON
2010
113views more  TON 2010»
15 years 2 months ago
Transmit Power Estimation Using Spatially Diverse Measurements Under Wireless Fading
Abstract--Received power measurements at spatially distributed monitors can be usefully exploited to deduce various characteristics of active wireless transmitters. In this paper, ...
Murtaza Zafer, Bongjun Ko, Ivan Wang Hei Ho
TON
2010
171views more  TON 2010»
15 years 2 months ago
Constructing Maximum-Lifetime Data-Gathering Forests in Sensor Networks
Abstract--Energy efficiency is critical for wireless sensor networks. The data-gathering process must be carefully designed to conserve energy and extend network lifetime. For appl...
Yan Wu, Zhoujia Mao, Sonia Fahmy, Ness B. Shroff
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