论文列表及评分结果

An isolated-word recognizer based on grammar-controlled classification processes.

电商所评分:2

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Feature definition in pattern recognition with small sample size.

电商所评分:3

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A simple learning decision algorithm for character recognition and pattern classification.

电商所评分:5

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Agglomerative clustering using the concept of mutual nearest neighbourhood.

电商所评分:7

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Bayes discrimination with mean square error loss.

电商所评分:8

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Editorial.

电商所评分:1

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Feature space transforms for curve detection.

电商所评分:1

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Locating straight-line edge segments on outdoor scenes.

电商所评分:2

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Shape description via the use of critical points.

电商所评分:7

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Shape description using weighted symmetric axis features.

电商所评分:6

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Iterative methods in image analysis.

电商所评分:7

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The use of context in pattern recognition.

电商所评分:10

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Image segmentation using a local extrema texture measure.

电商所评分:7

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Additive estimators for probabilities of correct classification.

电商所评分:6

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Structural pattern recognition, homomorphisms, and arrangements.

电商所评分:8

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Simulation of the optical illusions using a spatial filter.

电商所评分:10

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Computer recognition of printed Tamil characters.

电商所评分:5

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A unified setting for projections in pattern recognition.

电商所评分:7

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A general method for training the committee machine.

电商所评分:10

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Note on a modified gradient method for image analysis.

电商所评分:8

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Computer aided feature selection for enhanced analogue system fault location.

电商所评分:10

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A distribution-free geometric upper bound for the probability of error of a minimum distance classifier.

电商所评分:5

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The limited value of cophenetic correlation as a clustering criterion.

电商所评分:5

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A note on ties in voting with the k-NN rule.

电商所评分:7

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Crop classification with LANDSAT multispectral scanner data.

电商所评分:1

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On fingerprint pattern recognition.

电商所评分:6

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Learning criterion and inductive behaviour.

电商所评分:3

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Multiple threshold perceptron.

电商所评分:7

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Analysis of a steepest-descent image-matching algorithm.

电商所评分:4

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A characterization of nearest-neighbor rule decision surfaces and a new approach to generate them.

电商所评分:2

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