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A pattern grouping algorithm for analysis of spatiotemporal patterns in neuronal spike trains.
A pattern grouping algorithm was designed to identify and to evaluate the statistical significance of such patterns, particularly for data generated according to stationary Poisson processes.
This article describes a filtering method that de-convolute time series according to their correlation functions and makes possible an application of the pattern grouping algorithm for such data too.
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This paper includes three contributions: 1) compressed CBF implementation and its updating algorithm; 2) pattern grouping for higher cache hit rate; 3) onchip cache organization and replacement policy.
Differentiating between schizophrenic patients and healthy controls, the temporal pattern recognition algorithm demonstrates its suitability for predicting group membership for individual subjects.
These probes were further analyzed using the Pavlidis Template Matching (PTM) pattern recognition algorithm to isolate transcripts only expressed by one of the five tissue groups.
A behavior pattern matching algorithm is then been used for matching a new call record with the normal user groups.
The pattern extraction algorithm is presented in Algorithm 1.
A pattern matching algorithm, the Scan Circle Algorithm [K.
In our algorithm, all patterns X of | I(X)| ≥ 2 are enumerated by a recursive pattern growth algorithm.
Arvaneh proposed a sparse common spatial pattern algorithm and a robust sparse common spatial pattern algorithm for channel selection.
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