 | 2011 |
| 11 |  | Karthik Nagarajan,
Brian Holland,
Alan D. George,
K. Clint Slatton,
Herman Lam:
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition.
Signal Processing Systems 62(1): 43-63 (2011) |
| 2010 |
| 10 |  | Karthik Nagarajan,
Carolyn Krekeler,
K. Clint Slatton,
Wendy D. Graham:
A Scalable Approach to Fusing Spatiotemporal Data to Estimate Streamflow via a Bayesian Network.
IEEE T. Geoscience and Remote Sensing 48(10): 3720-3732 (2010) |
| 2009 |
| 9 |  | Brian Holland,
Karthik Nagarajan,
Alan D. George:
RAT: RC Amenability Test for Rapid Performance Prediction.
TRETS 1(4): (2009) |
| 2008 |
| 8 |  | Kuei-Tsung Shih,
Arjun Balachandran,
Karthik Nagarajan,
Brian Holland,
K. Clint Slatton,
Alan D. George:
Fast Real-Time LIDAR Processing on FPGAs.
ERSA 2008: 231-237 |
| 7 |  | Karthik Nagarajan,
Brian Holland,
K. Clint Slatton,
Alan D. George:
Scalable and Portable Architecture for Probability Density Function Estimation on FPGAs.
FCCM 2008: 302-303 |
| 6 |  | Carolyn Krekeler,
Karthik Nagarajan,
K. Clint Slatton:
A Method for Measuring the Incremental Information Contributed from Non-Stationary Spatio-Temporal Data to be Fused.
IGARSS (2) 2008: 261-264 |
| 2007 |
| 5 |  | Brian Holland,
Karthik Nagarajan,
Chris Conger,
Adam Jacobs,
Alan D. George:
RAT: a methodology for predicting performance in application design migration to FPGAs.
HPRCTA 2007: 1-10 |
| 4 |  | Karthik Nagarajan,
Carolyn Krekeler,
K. Clint Slatton:
Probabilistic fusion of spatio-temporal data to estimate stream flow via Bayesian networks.
IGARSS 2007: 4870-4873 |
| 2005 |
| 3 |  | Karthik Nagarajan,
K. Clint Slatton:
Multiple-model MKS with improved learning/prior modeling.
ICIP (1) 2005: 757-760 |
| 2004 |
| 2 |  | Karthik Nagarajan,
Herman Lam,
Stanley Y. W. Su:
Integration of Business Event and Rule Management With the Web Services Model.
Int. J. Web Service Res. 1(1): 41-57 (2004) |
| 2003 |
| 1 |  | Karthik Nagarajan,
Herman Lam,
Stanley Y. W. Su:
Integration of Business Event and Rule Management with the Web Services Model.
ICWS 2003: 83-89 |