Iker Gondra

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Potential-K-Means for Load Balancing and Cost Minimization in Mobile Recycling Network.

[BibT_eX]

[DOI]

IEEE Syst. J., 2017

MRI segmentation fusion for brain tumor detection.

[BibT_eX]

[DOI]

Inf. Fusion, 2017

A maximum partial entropy-based method for multiple-instance concept learning.

[BibT_eX]

[DOI]

Appl. Intell., 2017

2016

Computing force field-based directional maps in subquadratic time.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

2015

Attributed Relational Graph-Based Learning of Object Models for Object Segmentation.

[BibT_eX]

[DOI]

Nasreen Akter

Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015

Automated segmentation of brain tumors in MRI using potential field clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE EUROCON 2015, 2015

Automated Localization of Brain Tumors in MRI Using Potential-K-Means Clustering Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 12th Conference on Computer and Robot Vision, 2015

2014

Learning spatial relations for object-specific segmentation using Bayesian network model.

[BibT_eX]

[DOI]

Signal Image Video Process., 2014

Object Segmentation through Multiple Instance Learning.

[BibT_eX]

[DOI]

Proceedings of the Image and Signal Processing - 6th International Conference, 2014

2012

An efficient parallel neural network-based multi-instance learning algorithm.

[BibT_eX]

[DOI]

Cheng Hua Li

Lijun Liu

J. Supercomput., 2012

A simple and effective texture characterization for image segmentation.

[BibT_eX]

[DOI]

Signal Image Video Process., 2012

Constructing Target Concept in Multiple Instance Learning Using Maximum Partial Entropy.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Learning-Based Object Segmentation Using Regional Spatial Templates and Visual Features.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision and Graphics - International Conference, 2012

Incorporating shape into spatially-aware adaptive object segmentation algorithm.

[BibT_eX]

[DOI]

Proceedings of the Fifth International C* Conference on Computer Science & Software Engineering, 2012

A Mean Shift-Based Initialization Method for K-means.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Computer and Information Technology, 2012

2011

Adaptive Kernel Diverse Density Estimate for Multiple Instance Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

A Bayesian network-based tunable image segmentation algorithm for object recognition.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Symposium on Signal Processing and Information Technology, 2011

2010

Image region re-weighting via multiple instance learning.

[BibT_eX]

[DOI]

Signal Image Video Process., 2010

A multiple instance learning based framework for semantic image segmentation.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2010

A Novel Neural Network-Based Approach for Multiple Instance Learning.

[BibT_eX]

[DOI]

Cheng Hua Li

Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010

2009

Texture map: an effective representation for image segmentation.

[BibT_eX]

[DOI]

Proceedings of the Canadian Conference on Computer Science & Software Engineering, 2009

2008

Applying machine learning to software fault-proneness prediction.

[BibT_eX]

[DOI]

J. Syst. Softw., 2008

Content-based image retrieval with the normalized information distance.

[BibT_eX]

[DOI]

Rodrigo Fernandes de Mello

Comput. Vis. Image Underst., 2008

Multi-Dimensional Dynamic Time Warping for Image Texture Similarity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2008

An Objective Evaluation of the Mean Shift-Based Image Segmentation Algorithm.

[BibT_eX]

Proceedings of the 2008 International Conference on Image Processing, 2008

Adaptive mean shift-based image segmentation using multiple instance learning.

[BibT_eX]

[DOI]

Proceedings of the Third IEEE International Conference on Digital Information Management (ICDIM), 2008

2005

A Kolmogorov Complexity-Based Normalized Information Distance for Image Retrieval.

[BibT_eX]

Proceedings of The 2005 International Conference on Imaging Science, 2005

2004

Improving image retrieval performance by inter-query learning with one-class support vector machines.

[BibT_eX]

[DOI]

Jing Peng

Neural Comput. Appl., 2004

Summarizing Inter-Query Learning in Content-Based Image Retrieval via Incremental Semantic Clustering.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), 2004

Learning in Region-Based Image Retrieval with Generalized Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

Probabilistic Region Relevance Learning for Content-Based Image Retrieval.

[BibT_eX]

Proceedings of the International Conference on Imaging Science, Systems and Technology, 2004

Semantic Similarity for Adaptive Exploitation of Inter-Query Learning.

[BibT_eX]

Proceedings of the 2nd International Conference Computing, 2004

2003

A Coarse-Grain Parallel Genetic Algorithm for Finding Ramsey Numbers.

[BibT_eX]

[DOI]

Mansur H. Samadzadeh

Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003

Multi-Heuristic List Scheduling Genetic Algorithms for Task Scheduling.

[BibT_eX]

[DOI]

Andy Auyeung