Dataset complexity in gene expression based cancer classification using ensembles of k-nearest neighbors. | 15 | 0.63 | 2009 |
Dataset Complexity Can Help To Generate Accurate Ensembles Of K-Nearest Neighbors | 1 | 0.36 | 2008 |
Ensembles Of K-Nearest Neighbors And Dimensionality Reduction | 1 | 0.36 | 2008 |
Dataset Complexity and Gene Expression Based Cancer Classification | 1 | 0.37 | 2007 |
Unsupervised data reduction | 11 | 0.56 | 2007 |
Random Forest for Gene Expression Based Cancer Classification: Overlooked Issues | 12 | 0.78 | 2007 |
Selection of more than one gene at a time for cancer prediction from gene expression data | 1 | 0.35 | 2006 |
Fast nonnegative matrix factorization and its application for protein fold recognition | 16 | 1.01 | 2006 |
Fast and accurate ground truth generation for skew-tolerance evaluation of page segmentation algorithms | 0 | 0.34 | 2006 |
Incremental locally linear embedding | 39 | 1.76 | 2005 |
Fast non-negative dimensionality reduction for protein fold recognition | 2 | 0.42 | 2005 |
Incremental locally linear embedding algorithm | 7 | 0.53 | 2005 |
Classification of handwritten digits using supervised locally linear embedding algorithm and support vector machine | 6 | 1.02 | 2003 |
Supervised Locally Linear Embedding Algorithm for Pattern Recognition | 32 | 1.93 | 2003 |
Supervised locally linear embedding | 84 | 9.19 | 2003 |
Robust text detection from binarized document images | 0 | 0.34 | 2002 |
Selection of the Optimal Parameter value for the Locally Linear Embedding Algorithm | 42 | 4.45 | 2002 |
Edge-Based Method for Text Detection from Complex Document Images | 10 | 0.73 | 2001 |
An Experimental Tool For Generating Ground Truths For Skewed Page Images | 1 | 0.42 | 2001 |
Automatic Ground-Truth Generation for Skew-Tolerance Evaluation of Document Layout Analysis Methods | 4 | 0.57 | 2000 |
Robust Skew Estimation on Low-Resolution Document Images | 9 | 0.89 | 1999 |
Document skew estimation without angle range restriction | 14 | 1.22 | 1999 |
Printed Text Segmentation Using Distance Transform | 0 | 0.34 | 1993 |