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150
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CVPR
2012
IEEE
13 years 5 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
118
Voted
ICML
2010
IEEE
15 years 3 months ago
Random Spanning Trees and the Prediction of Weighted Graphs
We show that the mistake bound for predicting the nodes of an arbitrary weighted graph is characterized (up to logarithmic factors) by the cutsize of a random spanning tree of the...
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio...
118
Voted
VLDB
2005
ACM
144views Database» more  VLDB 2005»
15 years 8 months ago
Bidirectional Expansion For Keyword Search on Graph Databases
Relational, XML and HTML data can be represented as graphs with entities as nodes and relationships as edges. Text is associated with nodes and possibly edges. Keyword search on s...
Varun Kacholia, Shashank Pandit, Soumen Chakrabart...

Lecture Notes
673views
17 years 16 days ago
Combinatorial Algorithms
"This is a standard senior-level algorithms class required of every computer science undergraduate and graduate student at the University of Illinois."
Jeff Erickson
143
Voted
AVSS
2009
IEEE
15 years 13 days ago
Landmark Localisation in 3D Face Data
A comparison of several approaches that use graph matching and cascade filtering for landmark localisation in 3D face data is presented. For the first method, we apply the structur...
Marcelo Romero, Nick Pears