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SDM
2008
SIAM
150views Data Mining» more  SDM 2008»
13 years 11 months ago
A Stagewise Least Square Loss Function for Classification
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
Shuang-Hong Yang, Bao-Gang Hu
ASC
2008
13 years 10 months ago
Dynamic classification for video stream using support vector machine
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
Mariette Awad, Yuichi Motai
CCE
2008
13 years 10 months ago
A kinematic model of continuous separation and classification of polydisperse suspensions
Kinematic models for polydisperse suspensions are based on specifying the solid-fluid relative velocity for each solids species as a function of the local solids concentrations. On...
Raimund Bürger, A. García, Kenneth H. ...
KI
2008
Springer
13 years 10 months ago
The Enhancement of Low-Level Classifications for Ambient Assisted Living
Abstract. Assisted living means providing the assisted with custom services, specific to their needs and capabilities. Computer monitoring can supply some of these services, be it ...
Rachel E. Goshorn, Deborah Goshorn, Mathias Kö...
NN
2008
Springer
201views Neural Networks» more  NN 2008»
13 years 10 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio