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» Algorithms for the Sample Mean of Graphs
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ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
15 years 2 months ago
Location and Scatter Matching for Dataset Shift in Text Mining
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong
VLDB
2007
ACM
155views Database» more  VLDB 2007»
16 years 4 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...
AI
2011
Springer
14 years 11 months ago
State agnostic planning graphs: deterministic, non-deterministic, and probabilistic planning
Planning graphs have been shown to be a rich source of heuristic information for many kinds of planners. In many cases, planners must compute a planning graph for each element of ...
Daniel Bryce, William Cushing, Subbarao Kambhampat...
CVPR
2000
IEEE
15 years 8 months ago
Learning Patterns from Images by Combining Soft Decisions and Hard Decisions
We present a novel approach for learning patterns (sub-images) shared by multiple images without prior knowledge about the number and the positions of the patterns in the images. ...
Pengyu Hong, Thomas S. Huang, Roy Wang
ACSD
2006
IEEE
105views Hardware» more  ACSD 2006»
15 years 10 months ago
Throughput Analysis of Synchronous Data Flow Graphs
Synchronous Data Flow Graphs (SDFGs) are a useful tool for modeling and analyzing embedded data flow applications, both in a single processor and a multiprocessing context or for...
Amir Hossein Ghamarian, Marc Geilen, Sander Stuijk...