Search Results - "Likas, Aristidis"

Face clustering using a weighted combination of deep representations by Skiadopoulou, Dafni, Likas, Aristidis

“…Clustering of face images is a well-known clustering problem with several applications as for example the automated face tagging in photo albums. The…”
Get full text

A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures by Nikou, Christophoros, Likas, Aristidis C, Galatsanos, Nikolaos P

“…A new Bayesian model is proposed for image segmentation based upon Gaussian mixture models (GMM) with spatial smoothness constraints. This model exploits the…”
Get full text

Multiple View Clustering Using a Weighted Combination of Exemplar-Based Mixture Models by Tzortzis, Grigorios F, Likas, C L

“…Multiview clustering partitions a dataset into groups by simultaneously considering multiple representations (views) for the same instances. Hence, the…”
Get full text

Evaluating generalization through interval-based neural network inversion by Adam, Stavros P., Likas, Aristidis C., Vrahatis, Michael N.

“…Typically, measuring the generalization ability of a neural network relies on the well-known method of cross-validation which statistically estimates the…”
Get full text

A Class-Adaptive Spatially Variant Mixture Model for Image Segmentation by Nikou, C., Galatsanos, N.P., Likas, A.C.

“…We propose a new approach for image segmentation based on a hierarchical and spatially variant mixture model. According to this model, the pixel labels are…”
Get full text

Scene Detection in Videos Using Shot Clustering and Sequence Alignment by Chasanis, V.T., Likas, A.C., Galatsanos, N.P.

“…Video indexing requires the efficient segmentation of video into scenes. The video is first segmented into shots and a set of key-frames is extracted for each…”
Get full text

Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors by Tzikas, D.G., Likas, A.C., Galatsanos, N.P.

“…In this paper, we present a new Bayesian model for the blind image deconvolution (BID) problem. The main novelty of this model is the use of a sparse…”
Get full text

Scanning X-ray Fluorescence Data Analysis for the Identification of Byzantine Icons' Materials, Techniques, and State of Preservation: A Case Study by Gerodimos, Theofanis, Asvestas, Anastasios, Mastrotheodoros, Georgios P, Chantas, Giannis, Liougos, Ioannis, Likas, Aristidis, Anagnostopoulos, Dimitrios F

“…X-ray fluorescence (XRF) spectrometry has proven to be a core, non-destructive, analytical technique in cultural heritage studies mainly because of its…”
Get full text

Sparse Bayesian Modeling With Adaptive Kernel Learning by Tzikas, D.G., Likas, A.C., Galatsanos, N.P.

“…Sparse kernel methods are very efficient in solving regression and classification problems. The sparsity and performance of these methods depend on selecting…”
Get full text

The MinMax k-Means clustering algorithm by Tzortzis, Grigorios, Likas, Aristidis

“…Applying k-Means to minimize the sum of the intra-cluster variances is the most popular clustering approach. However, after a bad initialization, poor local…”
Get full text

Fully Unsupervised M-FISH Chromosome Image Characterization by Karvelis, Petros S., Likas, Aristidis C.

“…Chromosome analysis is an important and difficult task for clinical diagnosis and biological research. A color imaging technique, multiplex fluorescent in situ…”
Get full text

Bayesian Restoration Using a New Nonstationary Edge-Preserving Image Prior by Chantas, G.K., Galatsanos, N.P., Likas, A.C.

“…In this paper, we propose a class of image restoration algorithms based on the Bayesian approach and a new hierarchical spatially adaptive image prior. The…”
Get full text

Combination of high-resolution magic angle spinning proton magnetic resonance spectroscopy and microscale genomics to type brain tumor biopsies by Tzika, A, Astrakas, Loukas, Cao, Haihui, Mintzopoulos, Dionyssios, Andronesi, Ovidiu, Mindrinos, Michael, Zhang, Jiangwen, Rahme, Laurence, Blekas, Konstantinos, Likas, Aristidis, Galatsanos, Nikolas, Carroll, Rona, Black, Peter

“…Advancements in the diagnosis and prognosis of brain tumor patients, and thus in their survival and quality of life, can be achieved using biomarkers that…”
Get full text

The UU-test for statistical modeling of unimodal data by Chasani, Paraskevi, Likas, Aristidis

“…•We propose UU-test that is a new method for deciding on dataset unimodality.•The method attempts to approximate the empirical cdf of the dataset using a cdf…”
Get full text

Global k-means++: an effective relaxation of the global k-means clustering algorithm by Vardakas, Georgios, Likas, Aristidis

“…The k -means algorithm is a prevalent clustering method due to its simplicity, effectiveness, and speed. However, its main disadvantage is its high sensitivity…”
Get full text

An ultrasound wearable system for the monitoring and acceleration of fracture healing in long bones by Protopappas, V.C., Baga, D.A., Fotiadis, D.I., Likas, A.C., Papachristos, A.A., Malizos, K.N.

“…An ultrasound wearable system for remote monitoring and acceleration of the healing process in fractured long bones is presented. The so-called USBone system…”
Get full text

Neural clustering based on implicit maximum likelihood by Vardakas, Georgios, Likas, Aristidis

“…Clustering is one of the most fundamental unsupervised learning tasks with numerous applications in various fields. Clustering methods based on neural…”
Get full text

Combining magnetic resonance spectroscopy and molecular genomics offers better accuracy in brain tumor typing and prediction of survival than either methodology alone by ASTRAKAS, Loukas, BLEKAS, Konstantinos D, CONSTANTINOU, Caterina, ANDRONESI, Ovidiu C, MINDRINOS, Michael N, LIKAS, Aristidis C, RAHME, Laurence G, BLACK, Peter M, MARCUS, Karen J, ARIA TZIKA, A

“…Recent advents in magnetic resonance spectroscopy (MRS) techniques permit subsequent microarray analysis over the entire human transcriptome in the same tissue…”
Get full text

A replication strategy for mobile opportunistic networks based on utility clustering by Papapetrou, Evangelos, Likas, Aristidis

“…Dynamic replication is a wide-spread multi-copy routing approach for efficiently coping with the intermittent connectivity in mobile opportunistic networks…”
Get full text

Unsupervised Decision Trees for Axis Unimodal Clustering by Chasani, Paraskevi, Likas, Aristidis

“…The use of decision trees for obtaining and representing clustering solutions is advantageous, due to their interpretability property. We propose a method…”
Get full text