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» Regularization Methods for Additive Models
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ICASSP
2011
IEEE
14 years 6 months ago
Online speech source separation based on maximum likelihood of local Gaussian modeling
We propose an online speech source separation method which can separate sources under underdetemined conditions. The proposed method is based on local Gaussian modeling (LGM). At ...
Masahito Togami
VMV
2003
181views Visualization» more  VMV 2003»
15 years 3 months ago
2.5D Active Contour for Surface Reconstruction
In this paper, we present a new deformable model — 2.5D Active Contour— that is capable of directly extracting shape geometry from 3D unorganized point cloud datasets. The rec...
Ye Duan, Hong Qin
ICIP
2009
IEEE
15 years 3 days ago
Directionally adaptive super-resolution
In this paper a novel direction adaptive super-resolution (SR) image reconstruction method is proposed. The proposed maximum a-posteriori (MAP) based estimator uses gradient direc...
Emre Turgay, Gozde Bozdagi Akar
115
Voted
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 2 months ago
Exploiting response models: optimizing cross-sell and up-sell opportunities in banking
The banking industry regularly mounts campaigns to improve customer value by offering new products to existing customers. In recent years this approach has gained significant mome...
Andrew Storey, Marc-David Cohen
147
Voted
ICMCS
2000
IEEE
145views Multimedia» more  ICMCS 2000»
15 years 6 months ago
Talking Heads and Synthetic Speech: An Architecture for Supporting Electronic Commerce
Facial animation has been combined with text-to-speech synthesis to create innovative multimodal interfaces. In this paper, we present an architecture for this multimodal interfac...
Jörn Ostermann, David R. Millen