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» Kernels and Regularization on Graphs
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129
Voted
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
14 years 11 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
99
Voted
JCT
1998
193views more  JCT 1998»
15 years 13 days ago
Fractional Kernels in Digraphs
The aim of this note is to point out some combinatorial applications of a lemma of Scarf, proved first in the context of game theory. The usefulness of the lemma in combinatorics...
Ron Aharoni, Ron Holzman
ICPP
1999
IEEE
15 years 5 months ago
SLC: Symbolic Scheduling for Executing Parameterized Task Graphs on Multiprocessors
Task graph scheduling has been found effective in performance prediction and optimization of parallel applications. A number of static scheduling algorithms have been proposed for...
Michel Cosnard, Emmanuel Jeannot, Tao Yang
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
15 years 2 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
126
Voted
ICDE
2012
IEEE
232views Database» more  ICDE 2012»
13 years 3 months ago
Horton: Online Query Execution Engine for Large Distributed Graphs
—Large graphs are used in many applications, such as social networking. The management of these graphs poses new challenges because such graphs are too large to fit on a single ...
Mohamed Sarwat, Sameh Elnikety, Yuxiong He, Gabrie...