2008 |
23 | EE | Hanhuai Shan,
Arindam Banerjee:
Bayesian Co-clustering.
ICDM 2008: 530-539 |
22 | EE | Qiang Fu,
Arindam Banerjee:
Multiplicative Mixture Models for Overlapping Clustering.
ICDM 2008: 791-796 |
21 | EE | Kuo-Wei Hsu,
Arindam Banerjee,
Jaideep Srivastava:
I/O Scalable Bregman Co-clustering.
PAKDD 2008: 896-903 |
20 | EE | Stefanie Jegelka,
Suvrit Sra,
Arindam Banerjee:
Approximation Algorithms for Bregman Co-clustering and Tensor Clustering
CoRR abs/0812.0389: (2008) |
2007 |
19 | EE | Arindam Banerjee,
Hanhuai Shan:
Latent Dirichlet Conditional Naive-Bayes Models.
ICDM 2007: 421-426 |
18 | EE | Arindam Banerjee:
An Analysis of Logistic Models: Exponential Family Connections and Online Performance.
SDM 2007 |
17 | EE | Arindam Banerjee,
Sugato Basu,
Srujana Merugu:
Multi-way Clustering on Relation Graphs.
SDM 2007 |
16 | EE | Arindam Banerjee,
Sugato Basu:
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning.
SDM 2007 |
2006 |
15 | EE | Arindam Banerjee:
On Bayesian bounds.
ICML 2006: 81-88 |
14 | EE | Arindam Banerjee,
Joydeep Ghosh:
Scalable Clustering Algorithms with Balancing Constraints.
Data Min. Knowl. Discov. 13(3): 365-395 (2006) |
13 | EE | Vishal Monga,
Arindam Banerjee,
Brian L. Evans:
A clustering based approach to perceptual image hashing.
IEEE Transactions on Information Forensics and Security 1(1): 68-79 (2006) |
2005 |
12 | EE | Arindam Banerjee,
Chase Krumpelman,
Joydeep Ghosh,
Sugato Basu,
Raymond J. Mooney:
Model-based overlapping clustering.
KDD 2005: 532-537 |
11 | EE | Arindam Banerjee,
Xin Guo,
Hui Wang:
On the optimality of conditional expectation as a Bregman predictor.
IEEE Transactions on Information Theory 51(7): 2664-2669 (2005) |
10 | EE | Arindam Banerjee,
Inderjit S. Dhillon,
Joydeep Ghosh,
Suvrit Sra:
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions.
Journal of Machine Learning Research 6: 1345-1382 (2005) |
9 | EE | Arindam Banerjee,
Srujana Merugu,
Inderjit S. Dhillon,
Joydeep Ghosh:
Clustering with Bregman Divergences.
Journal of Machine Learning Research 6: 1705-1749 (2005) |
2004 |
8 | EE | Arindam Banerjee,
Inderjit S. Dhillon,
Joydeep Ghosh,
Srujana Merugu:
An information theoretic analysis of maximum likelihood mixture estimation for exponential families.
ICML 2004 |
7 | EE | Arindam Banerjee,
Inderjit S. Dhillon,
Joydeep Ghosh,
Srujana Merugu,
Dharmendra S. Modha:
A generalized maximum entropy approach to bregman co-clustering and matrix approximation.
KDD 2004: 509-514 |
6 | EE | Arindam Banerjee,
John Langford:
An objective evaluation criterion for clustering.
KDD 2004: 515-520 |
5 | EE | Sugato Basu,
Arindam Banerjee,
Raymond J. Mooney:
Active Semi-Supervision for Pairwise Constrained Clustering.
SDM 2004 |
4 | EE | Arindam Banerjee,
Srujana Merugu,
Inderjit S. Dhillon,
Joydeep Ghosh:
Clustering with Bregman Divergences.
SDM 2004 |
2003 |
3 | EE | Arindam Banerjee,
Inderjit S. Dhillon,
Joydeep Ghosh,
Suvrit Sra:
Generative model-based clustering of directional data.
KDD 2003: 19-28 |
2002 |
2 | | Sugato Basu,
Arindam Banerjee,
Raymond J. Mooney:
Semi-supervised Clustering by Seeding.
ICML 2002: 27-34 |
1 | EE | Arindam Banerjee,
Joydeep Ghosh:
On Scaling Up Balanced Clustering Algorithms.
SDM 2002 |