output
20102024
most citedA Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm

1.2k citations

28 papers

nucl-th2024★ 8 cited

Towards accurate nuclear mass tables in covariant density functional theory

A. Taninah, B. Osei, A. V. Afanasjev +2

The current investigation focuses on detailed analysis of the anchor based optimization approach (ABOA), its comparison with alternative global fitting protocols and on the global…

hep-ph2023★ 1 cited

The Right-Handed Slepton Bulk Region for Dark Matter in Generalized No-scale - with Effective Super-Natural Supersymmetry

Xiangwei Yin, James A. Maxin, Dimitri V. Nanopoulos +1

We propose Generalized No-Scale Supergravity, the simplest scenario for Effective Super-Natural Supersymmetry, naturally solving the supersymmetry electroweak fine-tuning problem a…

nucl-th2022★ 1 cited

Fast rotation of nuclei with extreme isospin in the vicinity of neutron and proton drip lines

A. V. Afanasjev, S. Teeti, A. Taninah

The analysis of the present understanding of collective rotation in very neutron-rich nuclei is presented. It is shown that collective rotation can lead to the increase of stabilit…

cs.CL2021★ 33 cited

Text-based automatic personality prediction: A bibliographic review

Ali-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani +6

Personality detection is an old topic in psychology and Automatic Personality Prediction (or Perception) (APP) is the automated (computationally) forecasting of the personality on…

hep-ph2021★ 13 cited

Resolving the Discrepancy with -(5) Intersecting D-branes

Joseph L. Lamborn, Tianjun Li, James A. Maxin +1

A discrepancy between the measured anomalous magnetic moment of the muon and computed Standard Model value now stands at a combined following experiments at Broo…

hep-ph2021★ 6 cited

Spinning No-Scale -(5) in the Right Direction

Tianjun Li, James A. Maxin, Dimitri V. Nanopoulos

The Fermi National Accelerator Laboratory (FNAL) recently announced confirmation of the Brookhaven National Lab (BNL) measurements of the of the muon that uncovered a discrep…

hep-ph2019★ 4 cited

The Heavy Gluino in Natural No-Scale -(5)

Thomas Ford, Tianjun Li, James A. Maxin +1

In light of recent 80-137 results at the LHC Run 2 establishing a lower gluino mass limit of 2.25 TeV, we revisit the supersymmetric GUT model Flipped (5) with e…

hep-ph2019★ 2 cited

Naturalness in D-brane Inspired Models

Ron De Benedetti, Tianjun Li, James A. Maxin +1

We examine the naturalness of the D-brane inspired model constructed in flipped supplemented with vector-like particles at the TeV scale, dubbed flippons. We find the model…

hep-ph2018★ 3 cited

Inspiration from Intersecting D-branes: General Supersymmetry Breaking Soft Terms in No-Scale -

Ron De Benedetti, Chuang Li, Tianjun Li +3

Motivated by D-brane model building, we evaluate the - model with additional vector-like particle multiplets, referred to as flippons, within the framework of No-Sc…

hep-ph2017★ 4 cited

Probing the No-Scale - One-Parameter Model via Gluino Searches at the LHC2

Tianjun Li, James A. Maxin, Dimitri V. Nanopoulos

In our recent paper entitled "The return of the King: No-Scale -", we showed that the model space supporting the most favorable phenomenology should have been prob…

hep-ph2017★ 1 cited

General No-Scale Supergravity: An - Tale

Dingli Hu, Tianjun Li, Adam Lux +2

We study the grand unification model flipped with additional vector-like particle multiplets, or - for short, in the framework of General No-Scale Supergra…

cs.CV2016★ 367 cited

Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

David Gutman, Noel C. F. Codella, Emre Celebi +4

In this article, we describe the design and implementation of a publicly accessible dermatology image analysis benchmark challenge. The goal of the challenge is to sup- port resear…

cs.CV2016★ 105 cited

An Overview of Melanoma Detection in Dermoscopy Images Using Image Processing and Machine Learning

Nabin K. Mishra, M. Emre Celebi

The incidence of malignant melanoma continues to increase worldwide. This cancer can strike at any age; it is one of the leading causes of loss of life in young persons. Since this…

cs.CV2013★ 207 cited

Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods

M. Emre Celebi, Quan Wen, Sae Hwang +2

Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human interpretation…

cs.LG2013★ 51 cited

Deterministic Initialization of the K-Means Algorithm Using Hierarchical Clustering

M. Emre Celebi, Hassan A. Kingravi

K-means is undoubtedly the most widely used partitional clustering algorithm. Unfortunately, due to its gradient descent nature, this algorithm is highly sensitive to the initial p…

cs.LG2012★ 1.2k cited

A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm

M. Emre Celebi, Hassan A. Kingravi, Patricio A. Vela

K-means is undoubtedly the most widely used partitional clustering algorithm. Unfortunately, due to its gradient descent nature, this algorithm is highly sensitive to the initial p…

math.NA2012★ 4 cited

Comments on "On Approximating Euclidean Metrics by Weighted t-Cost Distances in Arbitrary Dimension"

M. Emre Celebi, Hassan A. Kingravi, Fatih Celiker

Mukherjee (Pattern Recognition Letters, vol. 32, pp. 824-831, 2011) recently introduced a class of distance functions called weighted t-cost distances that generalize m-neighbor, o…

cs.GR2011★ 183 cited

Improving the Performance of K-Means for Color Quantization

M. Emre Celebi

Color quantization is an important operation with many applications in graphics and image processing. Most quantization methods are essentially based on data clustering algorithms.…

cs.CV2010★ 425 cited

Lesion Border Detection in Dermoscopy Images

M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer +1

Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human in…

cs.CV2010★ 20 cited

Fast Color Quantization Using Weighted Sort-Means Clustering

M. Emre Celebi

Color quantization is an important operation with numerous applications in graphics and image processing. Most quantization methods are essentially based on data clustering algorit…

cs.CV2010★ 22 cited

Approximate Lesion Localization in Dermoscopy Images

M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer +1

Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human in…

cs.CV2010★ 41 cited

An Improved Objective Evaluation Measure for Border Detection in Dermoscopy Images

M. Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi +3

Background: Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty and subjectivity of human in…

cs.CV2010★ 173 cited

Automatic Detection of Blue-White Veil and Related Structures in Dermoscopy Images

M. Emre Celebi, Hitoshi Iyatomi, William V. Stoecker +4

Dermoscopy is a non-invasive skin imaging technique, which permits visualization of features of pigmented melanocytic neoplasms that are not discernable by examination with the nak…

cs.CV2010★ 5 cited

Cost-Effective Implementation of Order-Statistics Based Vector Filters Using Minimax Approximations

M. Emre Celebi, Hassan A. Kingravi, Rastislav Lukac +1

Vector operators based on robust order statistics have proved successful in digital multichannel imaging applications, particularly color image filtering and enhancement, in dealin…