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Recognition and classification of red blood cells using digital holographic microscopy and data clustering with discriminant analysis

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Kernelized Infomax Clustering

We propose a simple information-theoretic clustering approach based on maximizing the mutual information

I(\sfx,y)

between the unknown cluster labels

y

and the training patterns

\sfx

with respect to parameters of specifically constrained encoding dis ...

IDIAP2005

Recognition and classification of red blood cells using digital holographic microscopy and data clustering with discriminant analysis

Graph Chatbot

Chat with Graph Search

Likelihood estimation of the extremal index

Digital holographic microscopy applied to life sciences

Optical measurement of cell membrane tension

Kernelized Infomax Clustering

Multi-layer hierarchical clustering of pedestrian trajectories for automatic counting of people in video sequences

Making Retrieval Faster Through Document Clustering

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A clustering technique for the identification of piecewise affine and hybrid systems

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Kernelized Infomax Clustering

Effect of Recognition Errors on Text Clustering

Optical measurement of cell membrane tension

Likelihood estimation of the extremal index

Digital holographic microscopy applied to life sciences

A clustering technique for the identification of Piecewise Affine Systems

Multi-layer hierarchical clustering of pedestrian trajectories for automatic counting of people in video sequences

Single-linkage clustering for optimal classification in piecewise affine regression

A clustering technique for the identification of piecewise affine and hybrid systems

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