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» On the Vulnerability of Large Graphs
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ICASSP
2011
IEEE
14 years 10 months ago
Relevance language modeling for speech recognition
Language models for speech recognition tend to be brittle across domains, since their performance is vulnerable to changes in the genre or topic of the text on which they are trai...
Kuan-Yu Chen, Berlin Chen
TKDE
2012
227views Formal Methods» more  TKDE 2012»
13 years 9 months ago
Publishing Search Logs - A Comparative Study of Privacy Guarantees
—Search engine companies collect the “database of intentions”, the histories of their users’ search queries. These search logs are a gold mine for researchers. Search engin...
Michaela Götz, Ashwin Machanavajjhala, Guozha...
181
Voted
INFOCOM
2008
IEEE
16 years 1 months ago
Complex Network Measurements: Estimating the Relevance of Observed Properties
Abstract—Complex networks, modeled as large graphs, received much attention during these last years. However, data on such networks is only available through intricate measuremen...
Matthieu Latapy, Clémence Magnien
ICCV
2005
IEEE
16 years 8 months ago
Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar
In this paper, we present an attribute graph grammar for image parsing on scenes with man-made objects, such as buildings, hallways, kitchens, and living rooms. We choose one clas...
Feng Han, Song Chun Zhu
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
16 years 7 months ago
Correlation search in graph databases
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, the research of correlation ...
Yiping Ke, James Cheng, Wilfred Ng