
Deepak Ravichandran
Deepak Ravichandran is currently a Research Scientist at Google. His general research interests are in the area of Natural Language Processing and Unsupervised Machine Learning algorithms. He received his Ph.D. in computer science from the University of Southern California in 2005.
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A Tale of Two (Similar) Cities: Inferring City Similarity Through Geo-Spatial Query Log Analysis
Rohan Seth
Michele Covell
D. Sivakumar
Shumeet Baluja
Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (2011)
Text Classification Through Time: Efficient Label Propagation in Time-Based Graphs
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Shumeet Baluja
D. Sivakumar
International Conference on Knowledge Discovery and Information Retrieval (2009)
Video Suggestion and Discovery for YouTube: Taking Random Walks Through the View Graph
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Shumeet Baluja
Rohan Seth
D. Sivakumar
Yushi Jing
Mohamed Aly
WWW-2008
Weakly-Supervised Acquisition of Labeled Class Instances using Graph Random Walks
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Joseph Reisinger
Marius Pasca
Rahul Bhagat
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2008), Association for Computational Linguistics, Honolulu, Hawaii, pp. 582-590