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CORR
2010
Springer
249views Education» more  CORR 2010»
14 years 12 months ago
Performance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
Blake Hunter, Thomas Strohmer
ICPR
2008
IEEE
15 years 6 months ago
Multi-stage branch-and-bound for maximum variance disparity clustering
A split-and-merge framework based on a maximum variance criterion is proposed for disparity clustering. The proposed algorithm transforms low-level stereo disparity information to...
Ninad Thakoor, Venkat Devarajan, Jean Gao
IJCAI
2007
15 years 1 months ago
Learning from Partial Observations
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
Loizos Michael
ICDIM
2007
IEEE
15 years 6 months ago
Several methods of ranking retrieval systems with partial relevance judgment
: Some measures such as average precision over all relevant documents and recall level precision are considered as good system-oriented measures, because they concern both precisio...
Shengli Wu, Sally I. McClean
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
15 years 4 months ago
Synchronization with partial state feedback on SO(n)
Abstract— In this paper we consider the problem of constructing a distributed feedback law to achieve synchronization for a group of k agents whose states evolve on SO(n) and whi...
Christian Lageman, Alain Sarlette, Rodolphe Sepulc...