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IWANN
2005
Springer
14 years 3 months ago
Manifold Constrained Finite Gaussian Mixtures
In many practical applications, the data is organized along a manifold of lower dimension than the dimension of the embedding space. This additional information can be used when le...
Cédric Archambeau, Michel Verleysen
INFOCOM
2012
IEEE
12 years 21 days ago
Robust multi-source network tomography using selective probes
—Knowledge of a network’s topology and internal characteristics such as delay times or losses is crucial to maintain seamless operation of network services. Network tomography ...
Akshay Krishnamurthy, Aarti Singh
ICIP
2004
IEEE
14 years 12 months ago
Wavelet-based color filter array demosaicking
In this paper, a wavelet-based technique for the demosaicking of Color Filter Arrays (CFA) is proposed. Conventional demosaicking techniques perform interpolation of the missing p...
Jef Driesen, Paul Scheunders
IJCNN
2000
IEEE
14 years 2 months ago
Metrics that Learn Relevance
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
Samuel Kaski, Janne Sinkkonen
NIPS
2004
13 years 11 months ago
Neighbourhood Components Analysis
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinto...