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» Kernels for Semi-Structured Data
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165
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PAMI
2012
13 years 3 months ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre
106
Voted
CVPR
2008
IEEE
16 years 2 months ago
Image partial blur detection and classification
In this paper, we propose a partially-blurred-image classification and analysis framework for automatically detecting images containing blurred regions and recognizing the blur ty...
Renting Liu, Zhaorong Li, Jiaya Jia
84
Voted
ICCV
2003
IEEE
16 years 2 months ago
Robust Regression with Projection Based M-estimators
The robust regression techniques in the RANSAC family are popular today in computer vision, but their performance depends on a user supplied threshold. We eliminate this drawback ...
Haifeng Chen, Peter Meer
93
Voted
ICML
2008
IEEE
16 years 1 months ago
The skew spectrum of graphs
The central issue in representing graphstructured data instances in learning algorithms is designing features which are invariant to permuting the numbering of the vertices. We pr...
Risi Imre Kondor, Karsten M. Borgwardt
113
Voted
ISCAS
2008
IEEE
173views Hardware» more  ISCAS 2008»
15 years 7 months ago
Analysis of video filtering on the cell processor
— In this paper an analysis of bi-dimensional video filtering on the Cell Broadband Engine Processor is presented. To evaluate the processor, a highly adaptive filtering algori...
Arnaldo Azevedo, Cor Meenderinck, Ben H. H. Juurli...