Inderjit S. Dhillon
Inderjit S. Dhillon is a person.
- See: Co-clustering Algorithm.
References
- http://www.cs.utexas.edu/~inderjit/
- http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/d/Dhillon:Inderjit_S=.html
- http://scholar.google.com/scholar?q=Inderjit+S.+Dhillon
2015
- (Hsieh et al., 2015) ⇒ Cho-Jui Hsieh, Nagarajan Natarajan, and Inderjit S Dhillon. (2015). “PU Learning for Matrix Completion.” In: Proceedings of the 32nd International Conference on International Conference on Machine Learning - Volume 37.
2012
- (Hsieh et al., 2012) ⇒ Cho-Jui Hsieh, Kai-Yang Chiang, and Inderjit S. Dhillon. (2012). “Low Rank Modeling of Signed Networks.” In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012). ISBN:978-1-4503-1462-6 doi:10.1145/2339530.2339612
- (Yu et al., 2012) ⇒ Hsiang-Fu Yu, Cho-Jui Hsieh, Si Si, and Inderjit Dhillon. (2012). “Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems.” In: Data Mining (ICDM), 2012 IEEE 12th International Conference on, pp. 765-774 . IEEE,
2011
- (Hsieh et al., 2011) ⇒ Cho-Jui Hsieh, Inderjit S. Dhillon, Pradeep K. Ravikumar, and Mátyás A. Sustik. (2011). “Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation.” In: Advances in Neural Information Processing Systems, pp. 2330-2338.
2009
- (Lu et al., 2009) ⇒ Zhengdong Lu, Prateek Jain, and Inderjit S. Dhillon. (2009). “Geometry-aware Metric Learning.” In: Proceedings of ICML 2009.
2007
- (Davis et al., 2007) => Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, and Inderjit S. Dhillon. (2007). “Information-theoretic Metric Learning.” In: Proceedings of International Conference on Machine Learning (ICML 2007).
2005
- (Kulis et al., 2005) ⇒ Brian Kulis, Sugato Basu, Inderjit Dhillon, and Raymond Mooney. (2005). “Semi-supervised Graph Clustering: A Kernel Approach.” In: Proceedings of the 22nd International Conference on Machine learning. doi:10.1145/1102351.1102409
- (Banerjee et al., 2005) ⇒ Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, and Joydeep Ghosh. (2005). “Clustering with Bregman Divergences.” In: Journal Machine Learning Research, 6.
2004
- (Banarjee et al., 2004) ⇒ A. Banerjee, S. Merugu, Inderjit S. Dhillon, and J. Ghosh. (2004). “Clustering with Bregman Divergences.” In: Proceedings of the 2004 SIAM International Conference on Data Mining (SDM 2004).
2003
- (Dhillon et al., 2003) ⇒ Inderjit S. Dhillon, Subramanyam Mallela, and Dharmendra S. Modha. (2003). “Information-Theoretic Co-Clustering.” In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2003). doi:10.1145/956750.956764
- (Dhillon & Guan, 2003) ⇒ Inderjit S. Dhillon, and Yuqiang Guan. (2003). “Information Theoretic Clustering of Sparse Co-Occurrence Data.” In: Proceedings of the Third IEEE International Conference on Data Mining (ICDM 2003).
- (Dhillon et al., 2003) ⇒ Inderjit S. Dhillon, Subramanyam Mallela, and Rahul Kumar. (2003). “A divisive information theoretic feature clustering algorithm for text classification.” In: The Journal of Machine Learning Research, 3.
2002
- (Dhillon et al., 2002) ⇒ Inderjit S. Dhillon, Subramanyam Mallela, and Rahul Kumar. (2002). “Enhanced Word Clustering for Hierarchical Text Classification.” In: Proceedings of the eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
2001
- (Dhillon & Modha, 2001) ⇒ Inderjit S. Dhillon, and Dharmendra S. Modha. (2001). “Concept Decompositions for Large Sparse Text Data Using Clustering.” In: Machine Learning, 42(1-2). doi:10.1023/A:1007612920971
- (Dhillon, 2001) ⇒ Inderjit S. Dhillon. (2001). “Co-Clustering Documents and Words Using Bipartite Spectral Graph Partitioning.” In: Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2001) doi:10.1145/502512.502550
- (Dhillon et al., 2001) ⇒ Inderjit S. Dhillon, J. Fan, and Y. Guan. (2001). “Efficient Clustering of Very Large Document Collections.” In: Robert Grossman, C. Kamath, P. Kegelmeyer, Vipin Kumar, and R. Namburu, editors, "Data Mining for Scientific and Engineering Applications.” Kluwer Academic Publishers.
1999
- (Dhillon & Mohda, 1999) ⇒ Inderjit S. Dhillon, and Dharmendra S. Modha. (1999). “Concept Decomposition for Large Sparse Text Data Using Clustering.” Technical Report Research Report RJ 10147, IBM Almadan Research Center.