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ICIP
2006
IEEE
16 years 3 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
15 years 11 months ago
Multiple Kernel Clustering.
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
Bin Zhao, James T. Kwok, Changshui Zhang
SAMOS
2004
Springer
15 years 7 months ago
A Novel Data-Path for Accelerating DSP Kernels
A high-performance data-path to implement DSP kernels is proposed in this paper. The data-path is based on a flexible, universal, and regular component to optimally exploiting both...
Michalis D. Galanis, George Theodoridis, Spyros Tr...
TOG
2008
102views more  TOG 2008»
15 years 1 months ago
Real-time data driven deformation using kernel canonical correlation analysis
Achieving intuitive control of animated surface deformation while observing a specific style is an important but challenging task in computer graphics. Solutions to this task can ...
Wei-Wen Feng, Byung-Uck Kim, Yizhou Yu
ICPR
2006
IEEE
16 years 3 months ago
Hybrid Kernel Machine Ensemble for Imbalanced Data Sets
A two-class imbalanced data problem (IDP) emerges when the data from majority class are compactly clustered and the data from minority class are scattered. Though a discriminative...
Kap Luk Chan, Peng Li, Wen Fang