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TNN
2010
159views Management» more  TNN 2010»
14 years 11 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
ICASSP
2011
IEEE
14 years 8 months ago
Approximated kernel density estimation for multiple TDOA detection
The Generalized State Coherence Transform (GSCT) has been recently proposed as an efficient tool for the estimation of multidimensional TDOA of multiple sources. The transform de...
Francesco Nesta, Maurizio Omologo
ICASSP
2011
IEEE
14 years 8 months ago
Random finite set for data association in multiple camera tracking
Most methods for multiple camera tracking rely on accurate calibration to associate data from multiple cameras. However, it often is not easy to have an accurate calibration in so...
Nam Trung Pham, Richard Chang, Karianto Leman, Tec...
ISCA
2011
IEEE
229views Hardware» more  ISCA 2011»
14 years 8 months ago
TLSync: support for multiple fast barriers using on-chip transmission lines
As the number of cores on a single-chip grows, scalable barrier synchronization becomes increasingly difficult to implement. In software implementations, such as the tournament ba...
Jungju Oh, Milos Prvulovic, Alenka G. Zajic
ICDE
2009
IEEE
115views Database» more  ICDE 2009»
16 years 6 months ago
Efficient Evaluation of Multiple Preference Queries
Consider multiple users searching for a hotel room, based on size, cost, distance to the beach, etc. Users may have variable preferences expressed by different weights on the attri...
Leong Hou U, Nikos Mamoulis, Kyriakos Mouratidis