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» Partition Functions of Normal Factor Graphs
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PKDD
2009
Springer
155views Data Mining» more  PKDD 2009»
14 years 2 days 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»
13 years 7 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»
14 years 6 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»
13 years 2 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»
14 years 6 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