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» Linear Probing and Graphs
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WWW
2008
ACM
16 years 1 months ago
Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering
With the explosive growth of Web and the recent development in digital media technology, the number of images on the Web has grown tremendously. Consequently, Web image clustering...
Manjeet Rege, Ming Dong, Jing Hua
116
Voted
KDD
2007
ACM
227views Data Mining» more  KDD 2007»
16 years 1 months ago
Fast best-effort pattern matching in large attributed graphs
We focus on large graphs where nodes have attributes, such as a social network where the nodes are labelled with each person's job title. In such a setting, we want to find s...
Hanghang Tong, Christos Faloutsos, Brian Gallagher...
108
Voted
ACSC
2009
IEEE
15 years 7 months ago
A ConceptLink Graph for Text Structure Mining
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, V...
PAMI
2007
154views more  PAMI 2007»
15 years 7 days ago
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
—Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory—has been designed to provide different soluti...
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zha...
93
Voted
STOC
2010
ACM
170views Algorithms» more  STOC 2010»
15 years 5 months ago
Connectivity oracles for failure prone graphs
Dynamic graph connectivity algorithms have been studied for many years, but typically in the most general possible setting, where the graph can evolve in completely arbitrary ways...
Ran Duan, Seth Pettie