On a New Class of Bounds on Bayes Risk in Multihypothesis Pattern Recognition. - Pierre A. Devijver (IEEE Trans. Computers, 1974)

A note on ties in voting with the k-NN rule. - Pierre A. Devijver (Pattern Recognit., 1978)

New error bounds with the nearest neighbor rule (Corresp.). - Pierre A. Devijver (IEEE Trans. Inf. Theory, 1979)

The Probability Distribution of Conditional Classification Error. - Josef Kittler; Pierre A. Devijver (IEEE Trans. Pattern Anal. Mach. Intell., 1980)

Comments on "Nosing Around the Neighborhood: A New System Structure and Classification Rule for Recognition in Partially Exposed Environments". - Pierre A. Devijver (IEEE Trans. Pattern Anal. Mach. Intell., 1981)

An efficient estimator of pattern recognition system error probability. - Josef Kittler; Pierre A. Devijver (Pattern Recognit., 1981)

Statistical Properties of Error Estimators in Performance Assessment of Recognition Systems. - Josef Kittler; Pierre A. Devijver (IEEE Trans. Pattern Anal. Mach. Intell., 1982)

Insert and delete algorithms for maintaining dynamic Delaunay triangulations. - Pierre A. Devijver; Michel Dekesel (Pattern Recognit. Lett., 1982)

Computing multidimensional Delaunay tessellations. - Pierre A. Devijver; Michel Dekesel (Pattern Recognit. Lett., 1983)

Pseudomask Technique for Digital Subtraction Angiography (DSA). - Pierre A. Devijver; Christian Ronse; P. Haaker; Ernst Klotz; Reiner Koppe; R. Linde (DAGM-Symposium, 1984)

A multiclass, k-NN approach to Bayes risk estimation. - Pierre A. Devijver (Pattern Recognit. Lett., 1985)

Baum's forward-backward algorithm revisited. - Pierre A. Devijver (Pattern Recognit. Lett., 1985)

On the editing rate of the Multiedit algorithm. - Pierre A. Devijver (Pattern Recognit. Lett., 1986)

Image Segmentation Using Causal Markov Random Field Models. - Pierre A. Devijver (Pattern Recognition, 1988)

The ninth international conference on pattern recognition : 14-17 November 1988, Rome. - Pierre A. Devijver (Speech Commun., 1988)

Real-time modeling of image sequences based on hidden Markov mesh random field models. - Pierre A. Devijver (ICPR (2), 1990)

Image segmentation with a propagator Markov mesh model. - Carola Fassnacht; Pierre A. Devijver (ICPR (1), 1994)