| 2007 |
|---|
| 13 | EE | Jigang Wang,
Predrag Neskovic,
Leon N. Cooper:
Selecting Data for Fast Support Vector Machines Training.
Trends in Neural Computation 2007: 61-84 |
| 12 | EE | Jigang Wang,
Predrag Neskovic,
Leon N. Cooper:
Bayes classification based on minimum bounding spheres.
Neurocomputing 70(4-6): 801-808 (2007) |
| 11 | EE | Jigang Wang,
Predrag Neskovic,
Leon N. Cooper:
Improving nearest neighbor rule with a simple adaptive distance measure.
Pattern Recognition Letters 28(2): 207-213 (2007) |
| 2006 |
|---|
| 10 | EE | Jigang Wang,
Predrag Neskovic,
Leon N. Cooper:
Improving Nearest Neighbor Rule with a Simple Adaptive Distance Measure.
ICNC (1) 2006: 43-46 |
| 9 | EE | Jigang Wang,
Predrag Neskovic,
Leon N. Cooper:
A Minimum Sphere Covering Approach to Pattern Classification.
ICPR (3) 2006: 433-436 |
| 8 | EE | Jigang Wang,
Guochang Gu,
Shibo Xie,
Lifeng Xu:
Reliable and Efficient Data Transfer Protocol Based on UDP in Cluster System.
IMSCCS (1) 2006: 518-524 |
| 7 | EE | Jigang Wang,
Guochang Gu,
Shibo Xie,
Lifeng Xu:
An Fast Transparent Failover Scheme for Service Availability.
IMSCCS (1) 2006: 654-661 |
| 6 | EE | Jigang Wang,
Guochang Gu,
Shibo Xie,
Lifeng Xu:
Design of Smart Phone-Oriented Embedded Real-time Operating System.
IMSCCS (2) 2006: 758-763 |
| 5 | EE | Jigang Wang,
Predrag Neskovic,
Leon N. Cooper:
Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence.
Pattern Recognition 39(3): 417-423 (2006) |
| 2005 |
|---|
| 4 | EE | Jigang Wang,
Predrag Neskovic,
Leon N. Cooper:
Pattern Classification via Single Spheres.
Discovery Science 2005: 241-252 |
| 3 | EE | Jigang Wang,
Predrag Neskovic,
Leon N. Cooper:
A Statistical Confidence-Based Adaptive Nearest Neighbor Algorithm for Pattern Classification.
ICMLC 2005: 548-557 |
| 2 | EE | Jigang Wang,
Predrag Neskovic,
Leon N. Cooper:
Training Data Selection for Support Vector Machines.
ICNC (1) 2005: 554-564 |
| 1 | EE | Jigang Wang,
Predrag Neskovic,
Leon N. Cooper:
Locally Determining the Number of Neighbors in the k-Nearest Neighbor Rule Based on Statistical Confidence.
ICNC (1) 2005: 71-80 |
