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» The Pre-Image Problem in Kernel Methods
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AAAI
2010
15 years 6 months ago
Adaptive Transfer Learning
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung...
146
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ICIP
2007
IEEE
15 years 5 months ago
ML Nonlinear Smoothing for Image Segmentation and its Relationship to the Mean Shift
This paper addresses the issues of nonlinear edge-preserving image smoothing and segmentation. A ML-based approach is proposed which uses an iterative algorithm to solve the probl...
Andy Backhouse, Irene Y. H. Gu, Tiesheng Wang
144
Voted
TMM
2008
86views more  TMM 2008»
15 years 5 months ago
Implementing the 2-D Wavelet Transform on SIMD-Enhanced General-Purpose Processors
Abstract--The 2-D Discrete Wavelet Transform (DWT) consumes up to 68% of the JPEG2000 encoding time. In this paper, we develop efficient implementations of this important kernel on...
Asadollah Shahbahrami, Ben H. H. Juurlink, Stamati...
CVPR
2007
IEEE
16 years 7 months ago
A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling
Kernel machines have recently been considered as a promising solution for implicit surface modelling. A key challenge of machine learning solutions is how to fit implicit shape mo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
152
Voted
ICASSP
2009
IEEE
15 years 11 months ago
Acoustic fall detection using Gaussian mixture models and GMM supervectors
We present a system that detects human falls in the home environment, distinguishing them from competing noise, by using only the audio signal from a single far-field microphone....
Xiaodan Zhuang, Jing Huang, Gerasimos Potamianos, ...