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VLDB
2007
ACM
155views Database» more  VLDB 2007»
14 years 7 months ago
Towards Graph Containment Search and Indexing
Given a set of model graphs D and a query graph q, containment search aims to find all model graphs g D such that q contains g (q g). Due to the wide adoption of graph models, f...
Chen Chen, Xifeng Yan, Philip S. Yu, Jiawei Han, D...
SIGMOD
2006
ACM
194views Database» more  SIGMOD 2006»
14 years 7 months ago
Graph-based synopses for relational selectivity estimation
This paper introduces the Tuple Graph (TuG) synopses, a new class of data summaries that enable accurate selectivity estimates for complex relational queries. The proposed summari...
Joshua Spiegel, Neoklis Polyzotis
INFOCOM
2009
IEEE
14 years 2 months ago
Robust Counting Via Counter Braids: An Error-Resilient Network Measurement Architecture
—A novel counter architecture, called Counter Braids, has recently been proposed for accurate per-flow measurement on high-speed links. Inspired by sparse random graph codes, Co...
Yi Lu, Balaji Prabhakar
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 8 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
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