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SIGIR
2006
ACM
15 years 3 months ago
Answering complex questions with random walk models
We present a novel framework for answering complex questions that relies on question decomposition. Complex questions are decomposed by a procedure that operates on a Markov chain...
Sanda M. Harabagiu, V. Finley Lacatusu, Andrew Hic...
ECCV
2010
Springer
15 years 3 months ago
Reweighted Random Walks for Graph Matching
Graph matching is an essential problem in computer vision and machine learning. In this paper, we introduce a random walk view on the problem and propose a robust graph matching al...
Minsu Cho (Seoul National University), Jungmin Lee...
94
Voted
INFOCOM
2010
IEEE
14 years 8 months ago
Random Walks on Digraphs: A Theoretical Framework for Estimating Transmission Costs in Wireless Routing
—In this paper we develop a unified theoretical framework for estimating various transmission costs of packet forwarding in wireless networks. Our framework can be applied to th...
Yanhua Li, Zhi-Li Zhang
188
Voted
CVPR
2011
IEEE
14 years 5 months ago
Hyper-graph Matching via Reweighted Random Walks
Establishing correspondences between two feature sets is a fundamental issue in computer vision, pattern recognition, and machine learning. This problem can be well formulated as g...
Jungmin Lee (Seoul National University), Minsu Cho...
EMNLP
2011
13 years 9 months ago
Random Walk Inference and Learning in A Large Scale Knowledge Base
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
Ni Lao, Tom M. Mitchell, William W. Cohen