Search Results - "Papakostas, G.A."

Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view by Papakostas, G.A., Hatzimichailidis, A.G., Kaburlasos, V.G.

“…•Review of IFSs measures.•Extensive comparison.•Pattern recognition applications. A detailed analysis of the distance and similarity measures for…”
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Modified Factorial-Free Direct Methods for Zernike and Pseudo-Zernike Moment Computation by Papakostas, G.A., Boutalis, Y.S., Karras, D.A., Mertzios, B.G.

“…Modified direct methods for the computation of Zernike and pseudo-Zernike moments are presented in this paper. The presence of many factorial terms in direct…”
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A novel distance measure of intuitionistic fuzzy sets and its application to pattern recognition problems by Hatzimichailidis, A.G., Papakostas, G.A., Kaburlasos, V.G.

“…A novel distance measure between two intuitionistic fuzzy sets (IFSs) is proposed in this paper. The introduced measure formulates the information of each set…”
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A lattice computing approach to Alzheimer’s disease computer assisted diagnosis based on MRI data by Papakostas, G.A., Savio, A., Graña, M., Kaburlasos, V.G.

“…We present a Computer Assisted Diagnosis (CAD) system for Alzheimer’s disease (AD). The proposed CAD system employs MRI data features and applies a Lattice…”
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Towards Hebbian learning of Fuzzy Cognitive Maps in pattern classification problems by Papakostas, G.A., Koulouriotis, D.E., Polydoros, A.S., Tourassis, V.D.

“…► We study the performance of Hebbian algorithms in training FCM classifiers. ► We analyze the influence of FCM classifier’s structural parameters (hidden…”
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A new class of Zernike moments for computer vision applications by Papakostas, G.A., Boutalis, Y.S., Karras, D.A., Mertzios, B.G.

“…A Modified Direct Method for the computation of the Zernike moments is presented in this paper. The presence of many factorial terms, in the direct method for…”
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Moment-based local image watermarking via genetic optimization by Papakostas, G.A., Tsougenis, E.D., Koulouriotis, D.E.

“…A totally optimized image watermarking methodology that manages to enhance its local behaviour by applying the Krawtchouk moments is presented through this…”
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Adaptive color image watermarking by the use of quaternion image moments by Tsougenis, E.D., Papakostas, G.A., Koulouriotis, D.E., Karakasis, E.G.

“…•First adaptive moment-based color image watermarking.•Introduction of quaternion radial moments to watermarking.•Novel adaptive system for watermark’s…”
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Novel moment invariants for improved classification performance in computer vision applications by Papakostas, G.A., Karakasis, E.G., Koulouriotis, D.E.

“…A novel set of moment invariants based on the Krawtchouk moments are introduced in this paper. These moment invariants are computed over a finite number of…”
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Moment-based local binary patterns: A novel descriptor for invariant pattern recognition applications by Papakostas, G.A., Koulouriotis, D.E., Karakasis, E.G., Tourassis, V.D.

“…A novel descriptor able to improve the classification capabilities of a typical pattern recognition system is proposed in this paper. The introduced descriptor…”
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Performance evaluation of moment-based watermarking methods: A review by Tsougenis, E.D., Papakostas, G.A., Koulouriotis, D.E., Tourassis, V.D.

“…► Discussion of the crucial drawbacks and advantages of each method. ► Crucial parameters (moment order, moment family) sensitivity analysis. ► Order's value…”
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Sensitivity analysis of AODV protocol regarding forwarding probability by Kanakaris, V., Ndzi, D., Papakostas, G.A.

“…This paper focuses on how the probability can affect on the ad hoc routing protocols and especially on AODV regarding energy consumption. The evaluation of the…”
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Generalized dual Hahn moment invariants by Karakasis, E.G., Papakostas, G.A., Koulouriotis, D.E., Tourassis, V.D.

“…In this work we introduce a generalized expression of the weighted dual Hahn moment invariants up to any order and for any value of their parameters. In order…”
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Parallel pattern classification utilizing GPU-based kernelized Slackmin algorithm by Papakostas, G.A., Diamantaras, K.I., Papadimitriou, T.

“…This paper introduces a parallel implementation of the kernelized Slackmin algorithm able to tackle medium scale data in pattern classification applications…”
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Accurate and speedy computation of image Legendre moments for computer vision applications by Papakostas, G.A., Karakasis, E.G., Koulouriotis, D.E.

“…A novel algorithm that permits the fast and accurate computation of the Legendre image moments is introduced in this paper. The proposed algorithm is based on…”
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A unified methodology for the efficient computation of discrete orthogonal image moments by Papakostas, G.A., Koulouriotis, D.E., Karakasis, E.G.

“…A novel methodology is proposed in this paper to accelerate the computation of discrete orthogonal image moments. The computation scheme is mainly based on a…”
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Efficient and accurate computation of geometric moments on gray-scale images by Papakostas, G.A., Karakasis, E.G., Koulouriotis, D.E.

“…A novel algorithm that permits the fast and accurate computation of geometric moments on gray-scale images is presented in this paper. The proposed algorithm…”
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Towards adaptivity of image watermarking in polar harmonic transforms domain by Tsougenis, E.D., Papakostas, G.A., Koulouriotis, D.E., Tourassis, V.D.

“…A successful image watermarking method is identified by the high performance in a number of basic requirements such as robustness, imperceptibility, capacity…”
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Computation strategies of orthogonal image moments: A comparative study by Papakostas, G.A., Koulouriotis, D.E., Karakasis, E.G.

“…This paper discusses possible computation schemes that have been introduced in the past and cope with the efficient computation of the orthogonal image…”
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Numerical error analysis in Zernike moments computation by Papakostas, G.A., Boutalis, Y.S., Papaodysseus, C.N., Fragoulis, D.K.

“…An exact analysis of the numerical errors being generated during the computation of the Zernike moments, by using the well-known ‘q-recursive’ method, is…”
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