2008 |
19 | EE | Sila Kurugol,
Jennifer G. Dy,
Milind Rajadhyaksha,
Dana H. Brooks:
Detection of the dermis/epidermis boundary in reflectance confocal images using multi-scale classifier with adaptive texture features.
ISBI 2008: 492-495 |
18 | EE | Ying Cui,
Jennifer G. Dy,
Gregory C. Sharp,
Brian M. Alexander,
Steve B. Jiang:
Learning methods for lung tumor markerless gating in image-guided radiotherapy.
KDD 2008: 902-910 |
17 | EE | Alireza Farhangfar,
Lukasz A. Kurgan,
Jennifer G. Dy:
Impact of imputation of missing values on classification error for discrete data.
Pattern Recognition 41(12): 3692-3705 (2008) |
2007 |
16 | EE | Ying Cui,
Xiaoli Z. Fern,
Jennifer G. Dy:
Non-redundant Multi-view Clustering via Orthogonalization.
ICDM 2007: 133-142 |
15 | EE | Ting Su,
Jennifer G. Dy:
In search of deterministic methods for initializing K-means and Gaussian mixture clustering.
Intell. Data Anal. 11(4): 319-338 (2007) |
2006 |
14 | EE | Volkan Vural,
Glenn Fung,
Balaji Krishnapuram,
Jennifer G. Dy,
R. Bharat Rao:
Batch Classification with Applications in Computer Aided Diagnosis.
ECML 2006: 449-460 |
2005 |
13 | EE | Ben Cordes,
Jennifer G. Dy,
Miriam Leeser,
James Goebel:
Enabling a RealTime Solution for Neuron Detection with Reconfigurable Hardware (abstract only).
FPGA 2005: 264 |
12 | EE | Ben Cordes,
Jennifer G. Dy,
Miriam Leeser,
James Goebel:
Enabling a Real-Time Solution for Neuron Detection with Reconfigurable Hardware.
IEEE International Workshop on Rapid System Prototyping 2005: 128-134 |
11 | EE | Kaushal Sanghai,
Ting Su,
Jennifer G. Dy,
David R. Kaeli:
A multinomial clustering model for fast simulation of computer architecture designs.
KDD 2005: 808-813 |
10 | EE | Huan Liu,
Edward R. Dougherty,
Jennifer G. Dy,
Kari Torkkola,
Eugene Tuv,
Hanchuan Peng,
Chris H. Q. Ding,
Fuhui Long,
Michael E. Berens,
Lance Parsons,
Zheng Zhao,
Lei Yu,
George Forman:
Evolving Feature Selection.
IEEE Intelligent Systems 20(6): 64-76 (2005) |
2004 |
9 | EE | Volkan Vural,
Jennifer G. Dy:
A hierarchical method for multi-class support vector machines.
ICML 2004 |
8 | EE | Ting Su,
Jennifer G. Dy:
Automated hierarchical mixtures of probabilistic principal component analyzers.
ICML 2004 |
7 | EE | Ting Su,
Jennifer G. Dy:
A Deterministic Method for Initializing K-Means Clustering.
ICTAI 2004: 784-786 |
6 | EE | Jennifer G. Dy,
Carla E. Brodley:
Feature Selection for Unsupervised Learning.
Journal of Machine Learning Research 5: 845-889 (2004) |
2003 |
5 | EE | Jennifer G. Dy,
Carla E. Brodley,
Avinash C. Kak,
Lynn S. Broderick,
Alex M. Aisen:
Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images.
IEEE Trans. Pattern Anal. Mach. Intell. 25(3): 373-378 (2003) |
2000 |
4 | | Jennifer G. Dy,
Carla E. Brodley:
Feature Subset Selection and Order Identification for Unsupervised Learning.
ICML 2000: 247-254 |
3 | EE | Jennifer G. Dy,
Carla E. Brodley:
Visualization and interactive feature selection for unsupervised data.
KDD 2000: 360-364 |
1999 |
2 | | Carla E. Brodley,
Avinash C. Kak,
Chi-Ren Shyu,
Jennifer G. Dy,
Lynn S. Broderick,
Alex M. Aisen:
Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision.
AAAI/IAAI 1999: 760-767 |
1 | EE | Jennifer G. Dy,
Carla E. Brodley,
Avinash C. Kak,
Chi-Ren Shyu,
Lynn S. Broderick:
The Customized-Queries Approach to CBIR Using EM.
CVPR 1999: 2400-2406 |