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Hichem Frigui
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2020 – today
- 2023
- [c94]Fadoua Khmaissia, Hichem Frigui:
Improving Automatic Target Recognition in Low Data Regime using Semi-Supervised Learning and Generative Data Augmentation. CVPR Workshops 2023: 4931-4939 - [c93]Nada Baili, Hichem Frigui:
ADA-VIT: Attention-Guided Data Augmentation for Vision Transformers. ICIP 2023: 385-389 - 2022
- [j42]Aliasghar Shahrjooihaghighi
, Hichem Frigui:
Local feature selection for multiple instance learning. J. Intell. Inf. Syst. 59(1): 45-69 (2022) - [c92]Wiem Safta, Hichem Frigui:
Lung Nodules Identification in CT Scans Using Multiple Instance Learning. ICMLA 2022: 543-548 - [i3]Fadoua Khmaissia, Hichem Frigui:
Confidence-Guided Data Augmentation for Deep Semi-Supervised Training. CoRR abs/2209.08174 (2022) - 2021
- [j41]Yoganand Balagurunathan
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 40(12): 3748-3761 (2021) - 2020
- [j40]Mahdi Moalla
Application of Convolutional and Recurrent Neural Networks for Buried Threat Detection Using Ground Penetrating Radar Data. IEEE Trans. Geosci. Remote. Sens. 58(10): 7022-7034 (2020) - [c91]Benjamin Veasey, Mohammad Mehdi Farhangi, Hichem Frigui, Justin Broadhead, Michael Dahle, Aria Pezeshk, Albert Seow, Amir A. Amini:
Lung Nodule Malignancy Classification Based ON NLSTx Data. ISBI 2020: 1870-1874 - [c90]William Funke, Benjamin Veasey, Jacek M. Zurada, Hichem Frigui, Amir A. Amini:
3D U-Net for segmentation of pulmonary nodules in volumetric CT scans from multi-annotator truth estimation. Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [j39]Mohamed Trabelsi, Hichem Frigui:
Robust fuzzy clustering for multiple instance regression. Pattern Recognit. 90: 424-435 (2019) - [j38]Jordan M. Malof
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar. IEEE Trans. Geosci. Remote. Sens. 57(9): 6929-6945 (2019) - [c89]Wiem Safta, Mohammad Mehdi Farhangi, Benjamin Veasey, Amir A. Amini, Hichem Frigui:
Multiple Instance Learning for Malignant vs. Benign Classification of Lung Nodules in Thoracic Screening Ct Data. ISBI 2019: 1220-1224 - [c88]Aliasghar Shahrjooihaghighi, Hichem Frigui, Xiang Zhang, Xiaoli Wei, Biyun Shi, Craig J. McClain:
Ensemble feature selection for biomarker discovery in mass spectrometry-based metabolomics. SAC 2019: 19-24 - [c87]Ameni Trabelsi, Biyun Shi, Xiaoli Wei, Hichem Frigui, Xiang Zhang, Craig McClain, Aliasghar Shahrjooihaghighi:
Molecule specific normalization for protein and metabolite biomarker discovery. SAC 2019: 25-31 - 2018
- [c86]M. S. Anju Panicker, Hichem Frigui, Aaron W. Calhoun:
Cardio-Pulmonary Resuscitation (CPR) Scene Retrieval from Medical Simulation Videos Using Local Binary Patterns Over Three Orthogonal Planes. CBMI 2018: 1-6 - [c85]Mohamed Trabelsi, Hichem Frigui:
Fuzzy and Possibilistic Clustering for Multiple Instance Linear Regression. FUZZ-IEEE 2018: 1-7 - [c84]Wiem Safta, Hichem Frigui:
Multiple Instance Learning for Benign vs. Malignant Classification of Lung Nodules in CT Scans. ISSPIT 2018: 490-494 - [i2]Jordan M. Malof, Daniël Reichman, Andrew Karem, Hichem Frigui, Dominic K. C. Ho, Joseph N. Wilson, Wen-Hsiung Lee, William Cummings, Leslie M. Collins:
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar. CoRR abs/1803.03729 (2018) - 2017
- [j37]Mohammad Mehdi Farhangi
3-D Active Contour Segmentation Based on Sparse Linear Combination of Training Shapes (SCoTS). IEEE Trans. Medical Imaging 36(11): 2239-2249 (2017) - [c83]Faezeh Tafazzoli, Hichem Frigui, Keishin Nishiyama:
A Large and Diverse Dataset for Improved Vehicle Make and Model Recognition. CVPR Workshops 2017: 874-881 - [c82]Aliasghar Shahrjooihaghighi, Hichem Frigui, Xiang Zhang, Xiaoli Wei, Biyun Shi, Ameni Trabelsi:
An ensemble feature selection method for biomarker discovery. ISSPIT 2017: 416-421 - 2016
- [j36]Ouiem Bchir, Hichem Frigui, Mohamed Maher Ben Ismail:
Fuzzy clustering with learnable cluster-dependent kernels. Pattern Anal. Appl. 19(4): 919-937 (2016) - [c81]Mohammad Mehdi Farhangi, Hichem Frigui, Robert Bert, Amir A. Amini:
Incorporating shape prior into active contours with a sparse linear combination of training shapes: Application to corpus callosum segmentation. EMBC 2016: 6449-6452 - [c80]Amine Ben Khalifa, Hichem Frigui:
MCMI-ANFIS: A robust multi class multiple instance Adaptive Neuro-Fuzzy Inference System. FUZZ-IEEE 2016: 1991-1998 - [c79]Andrew Karem, Hichem Frigui:
Multiple Instance Learning with multiple positive and negative target concepts. ICPR 2016: 474-479 - [c78]Faezeh Tafazzoli, Hichem Frigui:
Vehicle make and model recognition using local features and logo detection. ISIVC 2016: 353-358 - [i1]Amine Ben Khalifa, Hichem Frigui:
Multiple Instance Fuzzy Inference Neural Networks. CoRR abs/1610.04973 (2016) - 2015
- [j35]Anis Hamdi, Hichem Frigui:
Ensemble hidden Markov models with application to landmine detection. EURASIP J. Adv. Signal Process. 2015: 75 (2015) - [j34]Amine Ben Khalifa, Hichem Frigui:
Multiple Instance Mamdani Fuzzy Inference. Int. J. Fuzzy Log. Intell. Syst. 15(4): 217-231 (2015) - [c77]Andrew Karem, Hichem Frigui:
Fuzzy clustering of multiple instance data. FUZZ-IEEE 2015: 1-7 - [c76]Amine Ben Khalifa, Hichem Frigui:
MI-ANFIS: A multiple instance Adaptive Neuro-Fuzzy Inference System. FUZZ-IEEE 2015: 1-8 - [c75]Shuangshuang Jiang, Hichem Frigui, Aaron W. Calhoun:
Speaker Identification in Medical Simulation Data Using Fisher Vector Representation. ICMLA 2015: 197-201 - [c74]Amine Ben Khalifa, Hichem Frigui:
A multiple instance neuro-fuzzy inference system for fusion of multiple landmine detection algorithms. IGARSS 2015: 4312-4315 - [c73]M. S. Anju Panicker, Hichem Frigui, Aaron W. Calhoun:
Identification of cardio-pulmonary resuscitation (CPR) scenes in medical simulation videos using spatio-temporal gradient orientations. IPTA 2015: 365-369 - 2014
- [j33]Shuangshuang Jiang, Hichem Frigui, Aaron W. Calhoun:
Text-independent Speaker Identification Using Soft Bag-of-Words Feature Representation. Int. J. Fuzzy Log. Intell. Syst. 14(4): 240-248 (2014) - [j32]Mohamed Maher Ben Ismail, Hichem Frigui:
Unsupervised clustering and feature weighting based on Generalized Dirichlet mixture modeling. Inf. Sci. 274: 35-54 (2014) - [c72]Hichem Frigui, S. Rawungyot
Identification of cardio-pulmonary resuscitation (CPR) scenes in video simulating medical crises. ATSIP 2014: 100-105 - [c71]Naouel Baili, Hichem Frigui:
Incremental fuzzy clustering with multiple kernels. ATSIP 2014: 289-294 - [c70]Hamdi Jenzri, Hichem Frigui, Paul D. Gader:
Context dependent hyperspectral subpixel target detection. ICIP 2014: 5062-5066 - [c69]Hamdi Jenzri, Hichem Frigui, Paul D. Gader:
Robust Context Dependent Spectral Unmixing. ICPR 2014: 643-647 - [c68]Amine Ben Khalifa, Hichem Frigui:
Fusion of multiple landmine detection algorithms using an adaptive neuro fuzzy inference system. IGARSS 2014: 3148-3151 - [c67]Hamdi Jenzri, Hichem Frigui:
Robust unmixing using consensus analysis. WHISPERS 2014: 1-4 - 2013
- [j31]Oualid Missaoui, Hichem Frigui, Paul D. Gader:
Multi-stream continuous hidden Markov models with application to landmine detection. EURASIP J. Adv. Signal Process. 2013: 40 (2013) - [j30]Ouiem Bchir, Hichem Frigui, Mohamed Maher Ben Ismail:
Semi-Supervised Fuzzy Clustering with Learnable Cluster dependent Kernels. Int. J. Artif. Intell. Tools 22(3) (2013) - [j29]Hichem Frigui, Ouiem Bchir, Naouel Baili:
An Overview of Unsupervised and Semi-Supervised Fuzzy Kernel Clustering. Int. J. Fuzzy Log. Intell. Syst. 13(4): 254-268 (2013) - [j28]Alina Zare
Piecewise Convex Multiple-Model Endmember Detection and Spectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 51(5-1): 2853-2862 (2013) - [c66]Ouiem Bchir, Mohamed Maher Ben Ismail, Hichem Frigui:
Mixture analysis based on spectral summarization. WHISPERS 2013: 1-4 - [c65]Hamdi Jenzri, Hichem Frigui, Paul D. Gader:
Graph constrained multi-model unmixing using LIDAR information. WHISPERS 2013: 1-4 - 2012
- [j27]Hichem Frigui, Lijun Zhang, Paul D. Gader, Joseph N. Wilson, K. C. Ho, Andres Mendez-Vazquez:
An evaluation of several fusion algorithms for anti-tank landmine detection and discrimination. Inf. Fusion 13(2): 161-174 (2012) - [j26]Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader:
Adaptive Local Fusion With Fuzzy Integrals. IEEE Trans. Fuzzy Syst. 20(5): 849-864 (2012) - [c64]Naouel Baili, Hichem Frigui:
Fuzzy clustering with multiple kernels in feature space. FUZZ-IEEE 2012: 1-8 - [c63]Alina Zare
Hyperspectral image analysis with piece-wise convex endmember estimation and spectral unmixing. ICIP 2012: 2681-2684 - [c62]Haythem Balti, Hichem Frigui:
Feature Mapping and Fusion for Music Genre Classification. ICMLA (1) 2012: 306-310 - [c61]Shuangshuang Jiang, Hichem Frigui, Aaron W. Calhoun:
Semantic Indexing of Video Simulations for Enhancing Medical Care During Crises. ICMLA (1) 2012: 520-525 - [c60]Hamdi Jenzri, Hichem Frigui, Paul D. Gader:
Context Dependent Spectral Unmixing. MLSP 2012: 1-6 - 2011
- [j25]Jeremy Bolton, Paul D. Gader, Hichem Frigui, Peter Torrione:
Random set framework for multiple instance learning. Inf. Sci. 181(11): 2061-2070 (2011) - [j24]Oualid Missaoui, Hichem Frigui, Paul D. Gader:
Land-Mine Detection With Ground-Penetrating Radar Using Multistream Discrete Hidden Markov Models. IEEE Trans. Geosci. Remote. Sens. 49(6-1): 2080-2099 (2011) - [c59]Naouel Baili, Hichem Frigui:
Fuzzy clustering with Multiple Kernels. FUZZ-IEEE 2011: 490-496 - [c58]Ouiem Bchir, Hichem Frigui:
Fuzzy clustering with Learnable Cluster dependent Kernels. FUZZ-IEEE 2011: 2521-2527 - [c57]Naouel Baili, Hichem Frigui:
Relational Fuzzy Clustering with Multiple Kernels. ICDM Workshops 2011: 488-495 - [c56]M. Maher Ben Ismail, Hichem Frigui:
Image database categorization using robust unsupervised learning of finite generalized dirichlet mixture models. ICIP 2011: 2457-2460 - [c55]Anis Hamdi, Hichem Frigui:
Landmine detection using an ensemble of continuous HMMs with multiple features. IGARSS 2011: 63-66 - [c54]Andrew Karem, Hichem Frigui:
A multiple instance learning approach for landmine detection using Ground Penetrating Radar. IGARSS 2011: 878-881 - 2010
- [j23]Hichem Frigui, Lijun Zhang, Paul D. Gader:
Context-Dependent Multisensor Fusion and Its Application to Land Mine Detection. IEEE Trans. Geosci. Remote. Sens. 48(6): 2528-2543 (2010) - [c53]Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader:
Local Fusion with Fuzzy Integrals. FUZZ-IEEE 2010: 1-7 - [c52]Gyeongyong Heo, Paul D. Gader, Hichem Frigui:
A noise robust variant of context extraction for local fusion. FUZZ-IEEE 2010: 1-6 - [c51]Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader:
Adaptive Local Fusion with Neural Networks. ICANN (2) 2010: 486-491 - [c50]M. Maher Ben Ismail, Hichem Frigui:
Possibilistic Clustering Based on Robust Modeling of Finite Generalized Dirichlet Mixture. ICPR 2010: 573-576 - [c49]Oualid Missaoui, Hichem Frigui, Paul D. Gader:
Model level fusion of edge histogram descriptors and gabor wavelets for landmine detection with ground penetrating radar. IGARSS 2010: 3378-3381 - [c48]Anis Hamdi, Oualid Missaoui, Hichem Frigui:
AN SVM classifier with HMM-based kernel for landmine detection using ground penetrating radar. IGARSS 2010: 4196-4199 - [c47]M. Maher Ben Ismail, Hichem Frigui:
Image database categorization using robust modeling of finite Generalized Dirichlet mixture. IPTA 2010: 334-339 - [c46]Ouiem Bchir, Hichem Frigui, Alina Zare
Multiple model endmember detection based on spectral and spatial information. WHISPERS 2010: 1-4 - [c45]Alina Zare
A comparison of deterministic and probabilistic approaches to endmember representation. WHISPERS 2010: 1-4 - [c44]Alina Zare
Spatially-smooth piece-wise convex endmember detection. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [j22]Gyeongyong Heo, Paul D. Gader, Hichem Frigui:
RKF-PCA: Robust kernel fuzzy PCA. Neural Networks 22(5-6): 642-650 (2009) - [j21]Hichem Frigui, Paul D. Gader:
Detection and Discrimination of Land Mines in Ground-Penetrating Radar Based on Edge Histogram Descriptors and a Possibilistic K-Nearest Neighbor Classifier. IEEE Trans. Fuzzy Syst. 17(1): 185-199 (2009) - [c43]Ahmed Chamseddine Ben Abdallah, Hichem Frigui, Paul D. Gader:
Context extraction for local fusion using fuzzy clustering and feature discrimination. FUZZ-IEEE 2009: 490-495 - [c42]Aleksey Fadeev, Oualid Missaoui, Hichem Frigui:
Dominant Audio Descriptors for Audio Classification and Retrieval. ICMLA 2009: 75-78 - [c41]Oualid Missaoui, Hichem Frigui, Paul D. Gader:
Discriminative Multi-stream Discrete Hidden Markov Models. ICMLA 2009: 178-183 - [c40]Lijun Zhang, Hichem Frigui, Paul D. Gader:
Context-Dependent Fusion of Multiple Algorithms with Minimum Classification Error Learning. ICMLA 2009: 190-195 - [c39]Aleksey Fadeev, Oualid Missaoui, Hichem Frigui:
Ensemble Possibilistic K-NN for Functional Clustering of Gene Expression Profiles in Human Cancers Challenge. ICMLA 2009: 439-442 - [c38]Gyeongyong Heo, Paul D. Gader, Hichem Frigui:
Robust kernel PCA using fuzzy membership. IJCNN 2009: 1213-1220 - [c37]M. Maher Ben Ismail, Hichem Frigui:
Image annotation based on constrained clustering and semi-naive bayesian model. ISCC 2009: 431-436 - [c36]Lijun Zhang, Hichem Frigui, Paul D. Gader, Jeremy Bolton:
Context-Dependent Fusion for mine detection using Airborne Hyperspectral Imagery. WHISPERS 2009: 1-4 - 2008
- [j20]Dae-Jin Kim, Hichem Frigui, Aleksey Fadeev:
A generic approach to semantic video indexing using adaptive fusion of multimodal classifiers. Int. J. Imaging Syst. Technol. 18(2-3): 124-136 (2008) - [j19]Hichem Frigui, Cheul Hwang:
Fuzzy Clustering and Aggregation of Relational Data With Instance-Level Constraints. IEEE Trans. Fuzzy Syst. 16(6): 1565-1581 (2008) - [c35]Hichem Frigui, Joshua Caudill, Ahmed Chamseddine Ben Abdallah:
Fusion of multi-modal features for efficient content-based image retrieval. FUZZ-IEEE 2008: 1992-1998 - [c34]Hichem Frigui, Jason Meredith:
Image database categorization under spatial constraints using adaptive constrained clustering. FUZZ-IEEE 2008: 2268-2276 - [c33]Aleksey Fadeev, Hichem Frigui:
Dominant Texture Descriptors for image classification and retrieval. ICIP 2008: 989-992 - [c32]Hichem Frigui, Rami Mahdi, Jason Meredith:
Combining feedbackand image database categorization in CBIR. ICME 2008: 1277-1280 - [c31]Oualid Missaoui, Hichem Frigui:
Optimal feature weighting for the discrete HMM. ICPR 2008: 1-4 - [c30]Oualid Missaoui, Hichem Frigui:
Optimal feature weighting for the continuous HMM. ICPR 2008: 1-4 - [c29]Hichem Frigui, Lijun Zhang, Paul D. Gader:
Context-Dependent Multi-Sensor Fusion for Landmine Detection. IGARSS (2) 2008: 371-374 - [c28]Hichem Frigui, Cheul Hwang:
Semi-supervised Clustering and Aggregation of Relational Data. ISCC 2008: 590-595 - [p1]Hichem Frigui:
MembershipMap: A Data Transformation for Knowledge Discovery Based on Granulation and Fuzzy Membership Aggregation. Computational Intelligence Paradigms 2008: 51-76 - 2007
- [j18]Hichem Frigui, Cheul Hwang, Frank Chung-Hoon Rhee:
Clustering and aggregation of relational data with applications to image database categorization. Pattern Recognit. 40(11): 3053-3068 (2007) - [j17]Joseph N. Wilson, Paul D. Gader, Wen-Hsiung Lee, Hichem Frigui, K. C. Ho:
A Large-Scale Systematic Evaluation of Algorithms Using Ground-Penetrating Radar for Landmine Detection and Discrimination. IEEE Trans. Geosci. Remote. Sens. 45(8): 2560-2572 (2007) - [c27]Aleksey Fadeev, Hichem Frigui, Dae-Jin Kim, Adel Elmaghraby
Transformation of Relational Features for Use with Conventional Classifiers. FUZZ-IEEE 2007: 1-6 - [c26]Hichem Frigui, Rami Mahdi:
Semi-Supervised Clustering and Feature Discrimination with Instance-Level Constraints. FUZZ-IEEE 2007: 1-6 - [c25]Hichem Frigui, Cheul Hwang:
Adaptive Concept Learning through Clustering and Aggregation of Relational Data. SDM 2007: 90-101 - [c24]Hichem Frigui, Joshua Caudill:
Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus. SDM 2007: 479-484 - 2006
- [j16]Hichem Frigui:
MembershipMap: Data Transformation Based on Granulation and Fuzzy Membership Aggregation. IEEE Trans. Fuzzy Syst. 14(6): 885-896 (2006) - [c23]Hichem Frigui, Joshua Caudill:
Unsupervised Image Segmentation and Annotation for Content-Based Image Retrieval. FUZZ-IEEE 2006: 72-77 - [c22]Hichem Frigui, Paul D. Gader:
Detection and Discrimination of Land Mines based on Edge Histogram Descriptors and Fuzzy K-Nearest Neighbors. FUZZ-IEEE 2006: 1494-1499 - [c21]Hichem Frigui, Joshua Caudill:
Region Based Image Annotation. ICIP 2006: 953-956 - [c20]Hichem Frigui, Joshua Caudill:
Building a Multi-Modal Thesaurus from Annotated Images. ICPR (4) 2006: 198-201 - [c19]Hichem Frigui, Cheul Hwang:
Clustering and aggregation of relational data with applications to image database categorization. IMSA 2006: 199-204 - [c18]Yufeng Zheng, Adel Said Elmaghraby
Three-band MRI image fusion utilizing the wavelet-based method optimized with two quantitative fusion metrics. Image Processing 2006: 61440R - [c17]Hichem Houissa, Nozha Boujemaa, Hichem Frigui:
Adaptive Visual Regions Categorization with Sets of Points of Interest. PCM 2006: 485-493 - 2005
- [j15]Hichem Frigui, K. C. Ho, Paul D. Gader:
Real-Time Landmine Detection with Ground-Penetrating Radar Using Discriminative and Adaptive Hidden Markov Models. EURASIP J. Adv. Signal Process. 2005(12): 1867-1885 (2005) - [j14]Hichem Frigui:
Unsupervised learning of arbitrarily shaped clusters using ensembles of Gaussian models. Pattern Anal. Appl. 8(1-2): 32-49 (2005) - [c16]Hichem Frigui:
Unsupervised Identification of Points of Interest for Semi-Supervised Learning. FUZZ-IEEE 2005: 91-96 - 2004
- [j13]Hichem Frigui, Olfa Nasraoui
Unsupervised learning of prototypes and attribute weights. Pattern Recognit. 37(3): 567-581 (2004) - [c15]Hichem Frigui:
Membershipmap: a data transformation approach for knowledge discovery in databases. FUZZ-IEEE 2004: 1147-1152 - [c14]Hichem Frigui, Paul D. Gader, Kotturu Satyanarayana:
Landmine detection with ground penetrating radar using fuzzy k-nearest neighbors. FUZZ-IEEE 2004: 1745-1749 - [c13]Hichem Frigui:
MembershipMap: Data Transformation Based on Membership Aggregation. ICPR (2) 2004: 463-466 - [c12]Hichem Frigui:
Projection and Visualization based on Synchronization of Coupled Oscillators. ICPR (4) 2004: 561-564 - [c11]Hichem Frigui:
Visualizing and Browsing Large Image Databases. IKE 2004: 68-74 - 2003
- [c10]Hichem Frigui, Kotturu Satyanarayana, Paul D. Gader:
Detection of land mines using fuzzy and possibilistic membership functions. FUZZ-IEEE 2003: 834-839 - [c9]Hichem Frigui, Salem Salem:
Fuzzy clustering and subset feature weighting. FUZZ-IEEE 2003: 857-862 - [c8]Hichem Frigui, Nozha Boujemaa:
Clustering fuzzy sets with application to image database categorization. FUZZ-IEEE 2003: 1182-1187 - [c7]Hichem Frigui:
Unsupervised learning of arbitrarily shaped clusters with application to image database categorization. Storage and Retrieval for Media Databases 2003: 462-473 - 2002
- [c6]Hichem Frigui, Olfa Nasraoui:
Simultaneous categorization of text documents and identification of cluster-dependent keywords. FUZZ-IEEE 2002: 1108-1113 - [c5]Hichem Frigui:
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets. KDD 2002: 507-512 - 2001
- [j12]Mohamed Ben Hadj Rhouma, Hichem Frigui:
Self-Organization of Pulse-Coupled Oscillators with Application to Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 23(2): 180-195 (2001) - [j11]Hichem Frigui:
Interactive image retrieval using fuzzy sets. Pattern Recognit. Lett. 22(9): 1021-1031 (2001) - [c4]Hichem Frigui, Paul D. Gader, Raghu Krishnapuram:
Handwritten Character Membership Function Estimation for Word Recognition. FUZZ-IEEE 2001: 928-931 - [c3]Hichem Frigui, Mohamed Ben Hadj Rhouma:
A Synchronization Based Algorithm for Discovering Ellipsoidal Clusters in Large Datasets. ICDM 2001: 139-146 - 2000
- [j10]Olfa Nasraoui, Hichem Frigui, Raghu Krishnapuram, Anupam Joshi:
Extracting Web User Profiles Using Relational Competitive Fuzzy Clustering. Int. J. Artif. Intell. Tools 9(4): 509-526 (2000) - [j9]Paul D. Gader, Bruce N. Nelson, Hichem Frigui, Gary Vaillette, James M. Keller:
Fuzzy logic detection of landmines with ground penetrating radar. Signal Process. 80(6): 1069-1084 (2000) - [c2]Hichem Frigui, Olfa Nasraoui:
Simultaneous clustering and attribute discrimination. FUZZ-IEEE 2000: 158-163
1990 – 1999
- 1999
- [j8]Hichem Frigui, Raghu Krishnapuram:
A Robust Competitive Clustering Algorithm With Applications in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 21(5): 450-465 (1999) - 1997
- [j7]Hichem Frigui, Raghu Krishnapuram:
Clustering by competitive agglomeration. Pattern Recognit. 30(7): 1109-1119 (1997) - 1996
- [j6]Hichem Frigui, Raghu Krishnapuram:
A robust algorithm for automatic extraction of an unknown number of clusters from noisy data. Pattern Recognit. Lett. 17(12): 1223-1232 (1996) - [j5]Hichem Frigui, Raghuram Krishnapuram:
A comparison of fuzzy shell-clustering methods for the detection of ellipses. IEEE Trans. Fuzzy Syst. 4(2): 193-199 (1996) - [c1]Hichem Frigui, Raghu Krishnapuram:
A Robust Clustering Algorithm Based on Competitive Agglomeration and Soft Rejection of Outliers. CVPR 1996: 550-555 - 1995
- [j4]Raghuram Krishnapuram, Hichem Frigui, Olfa Nasraoui
Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation. I. IEEE Trans. Fuzzy Syst. 3(1): 29-43 (1995) - [j3]Raghuram Krishnapuram, Hichem Frigui, Olfa Nasraoui
Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation. II. IEEE Trans. Fuzzy Syst. 3(1): 44-60 (1995) - 1993
- [j2]Raghu Krishnapuram, Hichem Frigui, Olfa Nasraoui
The Fuzzy C Quadric Shell clustering algorithm and the detection of second-degree curves. Pattern Recognit. Lett. 14(7): 545-552 (1993) - 1992
- [j1]Raghu Krishnapuram, Olfa Nasraoui
The fuzzy c spherical shells algorithm: A new approach. IEEE Trans. Neural Networks 3(5): 663-671 (1992)
Coauthor Index
Raghu Krishnapuram
aka: Raghuram Krishnapuram
aka: Raghuram Krishnapuram
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last updated on 2024-11-28 21:24 CET by the dblp team
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