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Partha Pratim Talukdar
2010 – today
- 2013
[i2]Evangelos E. Papalexakis, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Partha Pratim Talukdar, Brian Murphy: Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization. CoRR abs/1302.7043 (2013)- 2012
[c19]Amar Subramanya, Partha Pratim Talukdar: Graph-based Semi-Supervised Learning Algorithms for NLP. ACL (Tutorial Abstracts) 2012: 6
[c18]Partha Pratim Talukdar, Derry Tanti Wijaya, Tom Mitchell: Acquiring temporal constraints between relations. CIKM 2012: 992-1001
[c17]Paramveer S. Dhillon, Partha Pratim Talukdar, Koby Crammer: Metric Learning for Graph-Based Domain Adaptation. COLING (Posters) 2012: 255-264
[c16]Brian Murphy, Partha Pratim Talukdar, Tom Mitchell: Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding. COLING 2012: 1933-1950
[c15]Partha Pratim Talukdar, Derry Tanti Wijaya, Tom Mitchell: Coupled temporal scoping of relational facts. WSDM 2012: 73-82
[c14]Rakesh Agrawal, Ariel Fuxman, Anitha Kannan, John C. Shafer, Partha Pratim Talukdar: Associating structured records to text documents. WWW (Companion Volume) 2012: 451-452- 2011
[c13]Anitha Kannan, Partha Pratim Talukdar, Nikhil Rasiwasia, Qifa Ke: Improving Product Classification Using Images. ICDM 2011: 310-319
[c12]Anton Bakalov, Ariel Fuxman, Partha Pratim Talukdar, Soumen Chakrabarti: SCAD: collective discovery of attribute values. WWW 2011: 447-456- 2010
[c11]Paramveer S. Dhillon, Partha Pratim Talukdar, Koby Crammer: Learning Better Data Representation Using Inference-Driven Metric Learning. ACL (Short Papers) 2010: 377-381
[c10]Partha Pratim Talukdar, Fernando Pereira: Experiments in Graph-Based Semi-Supervised Learning Methods for Class-Instance Acquisition. ACL 2010: 1473-1481
[c9]Partha Pratim Talukdar, Zachary G. Ives, Fernando Pereira: Automatically incorporating new sources in keyword search-based data integration. SIGMOD Conference 2010: 387-398
2000 – 2009
- 2009
[c8]Zachary G. Ives, Craig A. Knoblock, Steven Minton, Marie Jacob, Partha Pratim Talukdar, Rattapoom Tuchinda, José Luis Ambite, Maria Muslea, Cenk Gazen: Interactive Data Integration through Smart Copy & Paste. CIDR 2009
[c7]Partha Pratim Talukdar, Koby Crammer: New Regularized Algorithms for Transductive Learning. ECML/PKDD (2) 2009: 442-457
[i1]Zachary G. Ives, Craig A. Knoblock, Steven Minton, Marie Jacob, Partha Pratim Talukdar, Rattapoom Tuchinda, José Luis Ambite, Maria Muslea, Cenk Gazen: Interactive Data Integration through Smart Copy & Paste. CoRR abs/0909.1769 (2009)- 2008
[j2]Partha Pratim Talukdar, Marie Jacob, Muhammad Salman Mehmood, Koby Crammer, Zachary G. Ives, Fernando Pereira, Sudipto Guha: Learning to create data-integrating queries. PVLDB 1(1): 785-796 (2008)
[j1]Zachary G. Ives, Todd J. Green, Grigoris Karvounarakis, Nicholas E. Taylor, Val Tannen, Partha Pratim Talukdar, Marie Jacob, Fernando Pereira: The ORCHESTRA Collaborative Data Sharing System. SIGMOD Record 37(3): 26-32 (2008)
[c6]Partha Pratim Talukdar, Joseph Reisinger, Marius Pasca, Deepak Ravichandran, Rahul Bhagat, Fernando Pereira: Weakly-Supervised Acquisition of Labeled Class Instances using Graph Random Walks. EMNLP 2008: 582-590
[c5]Koby Crammer, Partha Pratim Talukdar, Fernando Pereira: A rate-distortion one-class model and its applications to clustering. ICML 2008: 184-191
[c4]Ted Sandler, John Blitzer, Partha Pratim Talukdar, Lyle H. Ungar: Regularized Learning with Networks of Features. NIPS 2008: 1401-1408- 2007
[c3]Mark Dredze, John Blitzer, Partha Pratim Talukdar, Kuzman Ganchev, João Graça, Fernando Pereira: Frustratingly Hard Domain Adaptation for Dependency Parsing. EMNLP-CoNLL 2007: 1051-1055- 2004
[c2]Sridhar Krishna Nemala, Partha Pratim Talukdar, Kalika Bali, A. G. Ramakrishnan: Duration modeling for hindi text-to-speech synthesis system. INTERSPEECH 2004
[c1]S. R. Deepa, Kalika Bali, Angarai Ganesan Ramakrishnan, Partha Pratim Talukdar: Automatic Generation of Compound Word Lexicon for Hindi Speech Synthesis. LREC 2004
Coauthor Index
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last updated on 2013-03-12 21:36 CET by the dblp team



