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» Partition Functions of Normal Factor Graphs
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PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
15 years 8 months ago
Dynamic Factor Graphs for Time Series Modeling
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
Piotr W. Mirowski, Yann LeCun
ERSA
2006
86views Hardware» more  ERSA 2006»
15 years 3 months ago
GifT: A Gravity-Directed and Life-Time Based Algorithm for Temporal Partitioning of Data Flow Graphs
In reconfigurable systems, reconfiguration latency has a significant impact on the system performance. In this work, a temporal partitioning algorithm is presented to partition da...
Farhad Mehdipour, Morteza Saheb Zamani, Mehdi Sedi...
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 2 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
CORR
2010
Springer
158views Education» more  CORR 2010»
14 years 10 months ago
Counting in Graph Covers: A Combinatorial Characterization of the Bethe Entropy Function
We present a combinatorial characterization of the Bethe entropy function of a factor graph, such a characterization being in contrast to the original, analytical, definition of th...
Pascal O. Vontobel
KDD
2005
ACM
157views Data Mining» more  KDD 2005»
16 years 2 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis