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ICONIP
2008
15 years 2 months ago
An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony
Abstract. A method is proposed to determine the similarity of a collection of time series. As a first step, one extracts events from the time series, in other words, one converts e...
Justin Dauwels, François B. Vialatte, Theop...
IPCO
2004
114views Optimization» more  IPCO 2004»
15 years 2 months ago
Enumerating Minimal Dicuts and Strongly Connected Subgraphs and Related Geometric Problems
We consider the problems of enumerating all minimal strongly connected subgraphs and all minimal dicuts of a given directed graph G = (V, E). We show that the first of these proble...
Endre Boros, Khaled M. Elbassioni, Vladimir Gurvic...
CG
2005
Springer
15 years 1 months ago
Two-dimensional invariant manifolds in four-dimensional dynamical systems
This paper explores the visualization of two-dimensional stable and unstable manifolds of the origin (a saddle point) in a four-dimensional Hamiltonian system arising from control...
Hinke M. Osinga
TKDE
2012
270views Formal Methods» more  TKDE 2012»
13 years 3 months ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 6 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer