| 2008 |
|---|
| 12 | EE | Alexander Thomasian,
Lijuan Zhang:
Persistent clustered main memory index for accelerating k -NN queries on high dimensional datasets.
Multimedia Tools Appl. 38(2): 253-270 (2008) |
| 11 | EE | Alexander Thomasian,
Yue Li,
Lijuan Zhang:
Optimal subspace dimensionality for k-nearest-neighbor queries on clustered and dimensionality reduced datasets with SVD.
Multimedia Tools Appl. 40(2): 241-259 (2008) |
| 2007 |
|---|
| 10 | EE | Jian Wen,
Zhoujun Li,
Lijuan Zhang,
Xiaohua Hu,
Huowang Chen:
A New Method of Cluster-Based Topic Language Model for Genomic IR.
AINA Workshops (1) 2007: 301-306 |
| 9 | EE | Lijuan Zhang,
Zhoujun Li,
Huowang Chen:
An Effective Gene Selection Method Based on Relevance Analysis and Discernibility Matrix.
PAKDD 2007: 1088-1095 |
| 8 | EE | Lijuan Zhang,
Ligeng Si:
Existence and exponential stability of almost periodic solution for BAM neural networks with variable coefficients and delays.
Applied Mathematics and Computation 194(1): 215-223 (2007) |
| 2006 |
|---|
| 7 | EE | Lijuan Zhang,
Zhoujun Li:
Gene Selection for Classifying Microarray Data Using Grey Relation Analysis.
Discovery Science 2006: 378-382 |
| 6 | EE | Lijuan Zhang,
Zhoujun Li,
Huowang Chen,
Jian Wen:
Minimum Redundancy Gene Selection Based on Grey Relational Analysis.
ICDM Workshops 2006: 120-124 |
| 5 | EE | Alexander Thomasian,
Lijuan Zhang:
The Stepwise Dimensionality Increasing (SDI) Index for High-Dimensional Data.
Comput. J. 49(5): 609-618 (2006) |
| 4 | EE | Alexander Thomasian,
Lijuan Zhang:
Persistent Semi-Dynamic Ordered Partition Index.
Comput. J. 49(6): 670-684 (2006) |
| 2005 |
|---|
| 3 | EE | Lijuan Zhang,
Alexander Thomasian:
Persistent clustered main memory index for accelerating k-NN queries on high dimensional datasets.
CVDB 2005: 65-70 |
| 2 | EE | Alexander Thomasian,
Yue Li,
Lijuan Zhang:
Exact k-NN queries on clustered SVD datasets.
Inf. Process. Lett. 94(6): 247-252 (2005) |
| 2004 |
|---|
| 1 | EE | Yue Li,
Alexander Thomasian,
Lijuan Zhang:
Optimal Subspace Dimensionality for k-NN Search on Clustered Datasets.
DEXA 2004: 201-211 |
