| 2012 | ||
|---|---|---|
| 37 | Prateek Jain, Brian Kulis, Jason V. Davis, Inderjit S. Dhillon: Metric and Kernel Learning Using a Linear Transformation. Journal of Machine Learning Research 13: 519-547 (2012) | |
| 2011 | ||
| 36 | Prateek Jain, Peter Z. Yeh, Kunal Verma, Reymonrod G. Vasquez, Mariana Damova, Pascal Hitzler, Amit P. Sheth: Contextual Ontology Alignment of LOD with an Upper Ontology: A Case Study with Proton. ESWC (1) 2011: 80-92 | |
| 35 | Matthew Perry, Prateek Jain, Amit P. Sheth: SPARQL-ST: Extending SPARQL to Support Spatiotemporal Queries. Geospatial Semantics and the Semantic Web 2011: 61-86 | |
| 34 | Prateek Jain, Ambuj Tewari, Inderjit S. Dhillon: Orthogonal Matching Pursuit with Replacement. NIPS 2011: 1215-1223 | |
| 33 | Purushottam Kar, Prateek Jain: Similarity-based Learning via Data Driven Embeddings. NIPS 2011: 1998-2006 | |
| 32 | Prateek Jain, Ambuj Tewari, Inderjit S. Dhillon: Orthogonal Matching Pursuit with Replacement CoRR abs/1106.2774: (2011) | |
| 31 | Prateek Jain, Pravesh Kothari, Abhradeep Thakurta: Differentially Private Online Learning CoRR abs/1109.0105: (2011) | |
| 30 | Raajay Viswanathan, Prateek Jain, Srivatsan Laxman, Arvind Arasu: A Learning Framework for Self-Tuning Histograms CoRR abs/1111.7295: (2011) | |
| 29 | Purushottam Kar, Prateek Jain: Similarity-based Learning via Data Driven Embeddings CoRR abs/1112.5404: (2011) | |
| 2010 | ||
| 28 | Prateek Jain, Pascal Hitzler, Peter Z. Yeh, Kunal Verma, Amit P. Sheth: Linked Data Is Merely More Data. AAAI Spring Symposium: Linked Data Meets Artificial Intelligence 2010 | |
| 27 | Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman: Far-sighted active learning on a budget for image and video recognition. CVPR 2010: 3035-3042 | |
| 26 | Prateek Jain, Pascal Hitzler, Amit P. Sheth, Kunal Verma, Peter Z. Yeh: Ontology Alignment for Linked Open Data. International Semantic Web Conference (1) 2010: 402-417 | |
| 25 | Prateek Jain, Sudheendra Vijayanarasimhan, Kristen Grauman: Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning. NIPS 2010: 928-936 | |
| 24 | Prateek Jain, Raghu Meka, Inderjit S. Dhillon: Guaranteed Rank Minimization via Singular Value Projection. NIPS 2010: 937-945 | |
| 23 | Prateek Jain, Brian Kulis, Inderjit S. Dhillon: Inductive Regularized Learning of Kernel Functions. NIPS 2010: 946-954 | |
| 22 | Prateek Jain, Pascal Hitzler, Amit P. Sheth: Flexible bootstrapping-based ontology alignment. OM 2010 | |
| 2009 | ||
| 21 | Prateek Jain, Ashish Kapoor: Active learning for large multi-class problems. CVPR 2009: 762-769 | |
| 20 | Prateek Jain, Peter Z. Yeh, Kunal Verma, Cory A. Henson, Amit P. Sheth: SPARQL Query Re-writing Using Partonomy Based Transformation Rules. GeoS 2009: 140-158 | |
| 19 | Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon: Geometry-aware metric learning. ICML 2009: 85 | |
| 18 | Prateek Jain, Kunal Verma, Alex Kass, Reymonrod G. Vasquez: Automated review of natural language requirements documents: generating useful warnings with user-extensible glossaries driving a simple state machine. ISEC 2009: 37-46 | |
| 17 | Raghu Meka, Prateek Jain, Inderjit S. Dhillon: Matrix Completion from Power-Law Distributed Samples. NIPS 2009: 1258-1266 | |
| 16 | Anshul Chaurasia, Sudhanshu Dwivedi, Prateek Jain, Manish K. Gupta: XTile: An Error-Correction Package for DNA Self-Assembly CoRR abs/0908.2744: (2009) | |
| 15 | Raghu Meka, Prateek Jain, Inderjit S. Dhillon: Guaranteed Rank Minimization via Singular Value Projection CoRR abs/0909.5457: (2009) | |
| 14 | Brian Kulis, Prateek Jain, Kristen Grauman: Fast Similarity Search for Learned Metrics. IEEE Trans. Pattern Anal. Mach. Intell. 31(12): 2143-2157 (2009) | |
| 2008 | ||
| 13 | Prateek Jain, Brian Kulis, Kristen Grauman: Fast image search for learned metrics. CVPR 2008 | |
| 12 | Raghu Meka, Prateek Jain, Constantine Caramanis, Inderjit S. Dhillon: Rank minimization via online learning. ICML 2008: 656-663 | |
| 11 | Prateek Jain, Brian Kulis, Inderjit S. Dhillon, Kristen Grauman: Online Metric Learning and Fast Similarity Search. NIPS 2008: 761-768 | |
| 10 | Prateek Jain, Peter Z. Yeh, Kunal Verma, Alex Kass, Amit P. Sheth: Enhancing process-adaptation capabilities with web-based corporate radar technologies. OBI 2008: 2 | |
| 9 | Prateek Jain, Raghu Meka, Inderjit S. Dhillon: Simultaneous Unsupervised Learning of Disparate Clusterings. SDM 2008: 858-869 | |
| 8 | Prateek Jain, Raghu Meka, Inderjit S. Dhillon: Simultaneous Unsupervised Learning of Disparate Clusterings. Statistical Analysis and Data Mining 1(3): 195-210 (2008) | |
| 2007 | ||
| 7 | Matthew Perry, Amit P. Sheth, Farshad Hakimpour, Prateek Jain: Supporting Complex Thematic, Spatial and Temporal Queries over Semantic Web Data. GeoS 2007: 228-246 | |
| 6 | Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, Inderjit S. Dhillon: Information-theoretic metric learning. ICML 2007: 209-216 | |
| 2006 | ||
| 5 | Zakir Laliwala, Vikram Sorathia, Sanjay Chaudhary, Prateek Jain: Integrating Stateful Services in Workflow. APSEC 2006: 131-138 | |
| 4 | Zakir Laliwala, Prateek Jain, Sanjay Chaudhary: Semantic based Service-Oriented Grid Architecture for Business Processes. IEEE SCC 2006: 423-430 | |
| 2005 | ||
| 3 | Prateek Jain, Pabitra Mitra: Multi-objective Optimization for Adaptive Web Site Generation. PReMI 2005: 654-659 | |
| 2 | Sihem Amer-Yahia, Irini Fundulaki, Prateek Jain, Laks V. S. Lakshmanan: Personalizing XML Text Search in PimenT. VLDB 2005: 1310-1313 | |
| 2003 | ||
| 1 | Hemanta Kumar Maji, Prateek Jain: Generic System to Evolve Memory and Recall Based Fuzzy Controllers for Anytime Learning. IICAI 2003: 1364-1373 | |
Colors in the list of coauthors
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