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BMCBI
2008
114views more  BMCBI 2008»
13 years 7 months ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
ICB
2007
Springer
239views Biometrics» more  ICB 2007»
14 years 1 months ago
Uniprojective Features for Gait Recognition
Recent studies have shown that shape cues should dominate gait recognition. This motivates us to perform gait recognition through shape features in 2D human silhouettes. In this pa...
Daoliang Tan, Kaiqi Huang, Shiqi Yu, Tieniu Tan
ICIP
2009
IEEE
14 years 8 months ago
Wavelet Leader Multifractal Analysis For Texture Classification
Image classification often relies on texture characterization. Yet texture characterization has so far rarely been based on a true 2D multifractal analysis. Recently, a 2D wavelet...
CVPR
2007
IEEE
14 years 9 months ago
Tensor Canonical Correlation Analysis for Action Classification
We introduce a new framework, namely Tensor Canonical Correlation Analysis (TCCA) which is an extension of classical Canonical Correlation Analysis (CCA) to multidimensional data ...
Tae-Kyun Kim, Shu-Fai Wong, Roberto Cipolla
IEEEMM
2007
146views more  IEEEMM 2007»
13 years 7 months ago
Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
Yijuan Lu, Qi Tian, Maribel Sanchez, Jennifer L. N...