 | 2009 |
|---|
| 9 |       | Rameswar Debnath,
Takio Kurita:
An Evolutionary Gene Selection Method for Microarray Data Based on SVM Error Bound Theories.
BIOCOMP 2009: 153-158 |
| 8 |  | Rameswar Debnath,
Masakazu Muramatsu,
Haruhisa Takahashi:
Implementation Issues of Second-Order Cone Programming Approaches for Support Vector Machine Learning Problems.
IEICE Transactions 92-A(4): 1209-1222 (2009) |
| 2008 |
|---|
| 7 | | Ripon Kumar Saha,
Naresh Chandra Biswas,
Rameswar Debnath:
A New Approach for Adding Facial Expression to Neutral Face.
CGVR 2008: 87-92 |
| 2006 |
|---|
| 6 | | Rameswar Debnath,
Haruhisa Takahashi:
SVM Training: Second-Order Cone Programming versus Quadratic Programming.
IJCNN 2006: 1162-1168 |
| 2005 |
|---|
| 5 | | Rameswar Debnath,
Masakazu Muramatsu,
Haruhisa Takahashi:
An Efficient Support Vector Machine Learning Method with Second-Order Cone Programming for Large-Scale Problems.
Appl. Intell. 23(3): 219-239 (2005) |
| 2004 |
|---|
| 4 | | Rameswar Debnath,
Masakazu Muramatsu,
Haruhisa Takahashi:
A New Model for Large Margin Classifiers by Second Order Cone Programming.
IC-AI 2004: 877-882 |
| 3 | | Rameswar Debnath,
N. Takahide,
Haruhisa Takahashi:
A decision based one-against-one method for multi-class support vector machine.
Pattern Anal. Appl. 7(2): 164-175 (2004) |
| 2003 |
|---|
| 2 | | Rameswar Debnath,
N. Takahide,
Haruhisa Takahashi:
A Fast Learning Decision-Based SVM for Multi-Class Problems.
ICMLA 2003: 128-134 |
| 2002 |
|---|
| 1 | | Rameswar Debnath,
Haruhisa Takahashi:
Learning Capability: Classical RBF Network vs. SVM with Gaussian Kernel.
IEA/AIE 2002: 293-302 |
