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» Adaptive Matching Based Kernels for Labelled Graphs
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SIGIR
2008
ACM
13 years 7 months ago
Learning to rank with partially-labeled data
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
Kevin Duh, Katrin Kirchhoff
DAGM
2009
Springer
14 years 2 months ago
Active Structured Learning for High-Speed Object Detection
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Christoph H. Lampert, Jan Peters
LREC
2008
142views Education» more  LREC 2008»
13 years 9 months ago
Enriching Frame Semantic Resources with Dependency Graphs
We propose two general and robust methods for enriching resources annotated in the Frame Semantic paradigm with syntactic dependency graphs, which can provide useful additional in...
Hagen Fürstenau
PAMI
2010
207views more  PAMI 2010»
13 years 2 months ago
Document Ink Bleed-Through Removal with Two Hidden Markov Random Fields and a Single Observation Field
We present a new method for blind document bleed through removal based on separate Markov Random Field (MRF) regularization for the recto and for the verso side, where separate pri...
Christian Wolf
WDAG
2009
Springer
147views Algorithms» more  WDAG 2009»
14 years 2 months ago
Compact Routing in Power-Law Graphs
Abstract. We adapt the compact routing scheme by Thorup and Zwick to optimize it for power-law graphs. We analyze our adapted routing scheme based on the theory of unweighted rando...
Wei Chen, Christian Sommer 0002, Shang-Hua Teng, Y...