Generative and Discriminative Learning by CL-Net | 1 | 0.35 | 2007 |
Cost-sensitive boosting for classification of imbalanced data | 403 | 9.80 | 2007 |
Conformal geometry and its applications on 3D shape matching, recognition, and stitching. | 42 | 1.40 | 2007 |
Correction to "Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data" | 2 | 0.37 | 2007 |
Boosting an associative classifier | 18 | 0.76 | 2006 |
Boosting for Learning Multiple Classes with Imbalanced Class Distribution | 91 | 2.64 | 2006 |
An Overview of Associative Classifiers | 10 | 0.72 | 2006 |
A dynamic conditional random field model for foreground and shadow segmentation. | 77 | 2.59 | 2006 |
Spatiotemporal video segmentation based on graphical models. | 31 | 1.58 | 2005 |
Attribute clustering for grouping, selection, and classification of gene expression data | 82 | 2.80 | 2005 |
A Dynamic Hidden Markov Random Field Model for Foreground and Shadow Segmentation | 7 | 0.50 | 2005 |
A probabilistic approach for foreground and shadow segmentation in monocular image sequences | 15 | 1.12 | 2005 |
Parameter inference of cost-sensitive boosting algorithms | 15 | 0.85 | 2005 |
A global optimal algorithm for class-dependent discretization of continuous data | 21 | 0.99 | 2004 |
Video segmentation based on graphical models | 7 | 0.59 | 2003 |
Pattern discovery: a data driven approach to decision support | 27 | 2.71 | 2003 |
Switching hypothesized measurements: a dynamic model with applications to occlusion adaptive joint tracking | 0 | 0.34 | 2003 |
From association to classification: inference using weight of evidence | 41 | 2.55 | 2003 |
Joint region tracking with switching hypothesized measurements | 4 | 0.68 | 2003 |
Adaptive foreground and shadow detection in image sequences | 1 | 0.38 | 2002 |
High-Order Pattern Discovery from Discrete-Valued Data | 52 | 121.27 | 1997 |
Representing Discovered Patterns Using Attributed Hypergraph | 1 | 0.43 | 1996 |