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» Input Modeling Using Quantile Statistical Methods
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NN
2006
Springer
15 years 3 months ago
Machine learning in sedimentation modelling
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
Biswanath Bhattacharya, Dimitri P. Solomatine
DIS
2001
Springer
15 years 7 months ago
Eliminating Useless Parts in Semi-structured Documents Using Alternation Counts
We propose a preprocessing method for Web mining which, given semi-structured documents with the same structure and style, distinguishes useless parts and non-useless parts in each...
Daisuke Ikeda, Yasuhiro Yamada, Sachio Hirokawa
GLOBECOM
2006
IEEE
15 years 9 months ago
Blind Multiuser Detection in Multirate CDMA Transmissions Using Fluctuations of Correlation Estimators
Abstract— This paper deals with the problem of blind multiuser detection in multirate direct-sequence code division multiple access (DS-CDMA). Direct-Sequence Spread Spectrum (DS...
C. Nsiala Nzeza, R. Gautier, G. Burel
CVPR
2010
IEEE
15 years 8 months ago
Anatomical Parts-Based Regression Using Non-Negative Matrix Factorization
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
Swapna Joshi, Karthikeyan Shanmugavadivel, B.S. Ma...
ICPR
2008
IEEE
16 years 4 months ago
3D human posture estimation using the HOG features from monocular image
In this paper, we propose a method to estimate the 3D human posture from monocular image without using the markers. A 3D human body is expressed by a multi-joint model, and a set ...
Katsunori Onishi, Tetsuya Takiguchi, Yasuo Ariki