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» Learning to cluster using local neighborhood structure
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FOSSACS
2005
Springer
15 years 3 months ago
Branching Cells as Local States for Event Structures and Nets: Probabilistic Applications
We study the concept of choice for true concurrency models such as prime event structures and safe Petri nets. We propose a dynamic variation of the notion of cluster previously in...
Samy Abbes, Albert Benveniste
AAAI
2006
14 years 11 months ago
Identification and Evaluation of Weak Community Structures in Networks
Identifying intrinsic structures in large networks is a fundamental problem in many fields, such as engineering, social science and biology. In this paper, we are concerned with c...
Jianhua Ruan, Weixiong Zhang
73
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ICASSP
2011
IEEE
14 years 1 months ago
Artificial bandwidth extension of spectral envelope with temporal clustering
We present a new wideband spectral envelope estimation framework for the artificial bandwidth extension problem. The proposed framework builds temporal clusters of the joint sub-...
Can Yagli, Engin Erzin
CVPR
2008
IEEE
15 years 11 months ago
Sparse probabilistic regression for activity-independent human pose inference
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
Raquel Urtasun, Trevor Darrell
TNN
2010
155views Management» more  TNN 2010»
14 years 4 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...