| 2007 |
|---|
| 10 | EE | Ke Zhang,
Huidong Jin,
Zhouyu Fu,
Nianjun Liu:
Optimal Learning High-Order Markov Random Fields Priors of Colour Image.
ACCV (1) 2007: 482-491 |
| 9 | EE | Bin Jiang,
Huidong Jin,
Nianjun Liu,
Mike Quirk,
Ben Searle:
A HMM-Based Hierarchical Framework for Long-Term Population Projection of Small Areas.
Australian Conference on Artificial Intelligence 2007: 694-698 |
| 8 | EE | Yifan Lu,
Henry Gardner,
Huidong Jin,
Nianjun Liu,
Rhys Hawkins,
Ian Farrington:
Interactive Reconstruction of Archaeological Fragments in a Collaborative Environment.
DICTA 2007: 23-29 |
| 7 | EE | Ke Zhang,
Huidong Jin,
Nianjun Liu,
Rob Lesslie,
Lei Wang,
Zhouyu Fu,
Terry Caelli:
Discovering Prediction Model for Environmental Distribution Maps.
PAKDD Workshops 2007: 99-109 |
| 2006 |
|---|
| 6 | EE | Zhouyu Fu,
Terry Caelli,
Nianjun Liu,
Antonio Robles-Kelly:
Boosted Band Ratio Feature Selection for Hyperspectral Image Classification.
ICPR (1) 2006: 1059-1062 |
| 5 | EE | Olivier Y. de Vel,
Nianjun Liu,
Terry Caelli,
Tibério S. Caetano:
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics.
ISI 2006: 459-465 |
| 2005 |
|---|
| 4 | EE | Nianjun Liu,
Brian C. Lovell:
Hand Gesture Extraction by Active Shape Models.
DICTA 2005: 10 |
| 3 | EE | Yin Liu,
Nianjun Liu,
Hongyu Zhao:
Inferring protein-protein interactions through high-throughput interaction data from diverse organisms.
Bioinformatics 21(15): 3279-3285 (2005) |
| 2004 |
|---|
| 2 | EE | Nianjun Liu,
Richard I. A. Davis,
Brian C. Lovell,
Peter J. Kootsookos:
Effect of Initial HMM Choices in Multiple Sequence Training for Gesture Recognition.
ITCC (1) 2004: 608-613 |
| 2003 |
|---|
| 1 | EE | Nianjun Liu,
Brian C. Lovell:
Gesture Classification Using Hidden Markov Models and Viterbi Path Counting.
DICTA 2003: 273-282 |
