 | 2009 |
| 14 |  | Xin Li,
Fan Li,
Shihao Ji,
Zhaohui Zheng,
Yi Chang,
Anlei Dong:
Incorporating robustness into web ranking evaluation.
CIKM 2009: 2007-2010 |
| 13 |  | Yi Chang,
Anlei Dong,
Ciya Liao,
Zhaohui Zheng:
Enhancing topical ranking with preferences from click-through data.
SIGIR 2009: 666-667 |
| 2008 |
| 12 |  | Peng-Yeng Yin,
Bir Bhanu,
Kuang-Cheng Chang,
Anlei Dong:
Long-Term Cross-Session Relevance Feedback Using Virtual Features.
IEEE Trans. Knowl. Data Eng. 20(3): 352-368 (2008) |
| 11 |  | Rui Li,
Bir Bhanu,
Anlei Dong:
Feature synthesized EM algorithm for image retrieval.
TOMCCAP 4(2): (2008) |
| 2005 |
| 10 |  | Rui Li,
Bir Bhanu,
Anlei Dong:
Coevolutionary feature synthesized EM algorithm for image retrieval.
ACM Multimedia 2005: 696-705 |
| 9 |  | Anlei Dong,
Bir Bhanu,
Yingqiang Lin:
Evolutionary Feature Synthesis for Image Databases.
WACV/MOTION 2005: 330-335 |
| 8 |  | Peng-Yeng Yin,
Bir Bhanu,
Kuang-Cheng Chang,
Anlei Dong:
Integrating Relevance Feedback Techniques for Image Retrieval Using Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell. 27(10): 1536-1551 (2005) |
| 7 |  | Anlei Dong,
Bir Bhanu:
Active concept learning in image databases.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(3): 450-466 (2005) |
| 2004 |
| 6 |  | Anlei Dong,
Bir Bhanu:
Discriminant Features for Model-Based Image Databases.
ICPR (2) 2004: 997-1000 |
| 2003 |
| 5 |  | Anlei Dong,
Bir Bhanu:
A New Semi-Supervised EM Algorithm for Image Retrieval.
CVPR (2) 2003: 662-667 |
| 4 |  | Peng-Yeng Yin,
Bir Bhanu,
Kuang-Cheng Chang,
Anlei Dong:
Reinforcement Learning for Combining Relevance Feedback Techniques.
ICCV 2003: 510-515 |
| 3 |  | Anlei Dong,
Bir Bhanu:
Active Concept Learning for Image Retrieval in Dynamic Databases.
ICCV 2003: 90-95 |
| 2002 |
| 2 |  | Peng-Yeng Yin,
Bir Bhanu,
Kuang-Cheng Chang,
Anlei Dong:
Improving Retrieval Performance by Long-term Relevance Information.
ICPR (3) 2002: 533- |
| 2001 |
| 1 |  | Bir Bhanu,
Anlei Dong:
Concepts Learning with Fuzzy Clustering and Relevance Feedback.
MLDM 2001: 102-116 |