We stand with Ukraine

We stand with Ukraine

Qi Li

Affiliations:

Western Kentucky University, Department of Mathematics and Computer Science, Bowling Green, KY, USA
University of Delaware, Newark, USA (PhD 2006)

According to our database¹, Qi Li authored at least 38 papers between 2002 and 2019.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on cis.udel.edu

On csauthors.net:

Bibliography

2019

A novel edge-oriented framework for saliency detection enhancement.

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Image Vis. Comput., 2019

2018

Learning deep similarity models with focus ranking for fabric image retrieval.

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Image Vis. Comput., 2018

2017

A geometric method for contour extraction of Drosophila embryos.

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BMC Syst. Biol., 2017

A Feature Preserved Mesh Subdivision Framework for Biomedical Mesh.

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Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2016

Scale invariant representation of imbalanced points.

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Neurocomputing, 2016

Pedestrian detection via a leg-driven physiology framework.

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Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Polyline-driven stop sign detection.

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Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

A shape model for contour extraction of Drosophila embryos.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

A geometric framework for stop sign detection.

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Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015

2014

Localization of gene expression regions in Drosophila embryonic images.

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Wagner Silveira

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Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

Integration of Points of Interest and Regions of Interest.

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Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

2013

Rectangular Shape Detection with an Application to License Plate Detection.

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Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

2011

Contour Extraction of Drosophila Embryos.

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Chandra Kambhamettu

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

A Hybrid Representation of Imbalanced Points for Two-Layer Matching.

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Proceedings of the Image Analysis and Recognition - 8th International Conference, 2011

2009

Interest Pixel Mining.

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Chandra Kambhamettu

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

2008

Interest point detection using imbalance oriented selection.

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Chandra Kambhamettu

Pattern Recognit., 2008

An evaluation of identity representability of facial expressions using feature distributions.

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Chandra Kambhamettu

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Neurocomputing, 2008

Adaptive Appearance Based Face Recognition.

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Chandra Kambhamettu

Int. J. Artif. Intell. Tools, 2008

Learning subspace kernels for classification.

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Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction.

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Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis.

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IEEE Trans. Knowl. Data Eng., 2006

Spatial interest pixels (SIPs): useful low-level features of visual media data.

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Chandra Kambhamettu

Multim. Tools Appl., 2006

Identity Representability of Facial Expressions: An Evaluation Using Feature Pixel Distributions.

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Chandra Kambhamettu

Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006

Integrating Spatial and Discriminant Strength for Feature Selection and Linear Dimensionality Reduction.

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Chandra Kambhamettu

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

Efficient model selection for regularized linear discriminant analysis.

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Vladimir Cherkassky

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Chandra Kambhamettu

Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005

IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition.

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IEEE Trans. Knowl. Data Eng., 2005

A Two-Stage Linear Discriminant Analysis via QR-Decomposition.

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IEEE Trans. Pattern Anal. Mach. Intell., 2005

2004

LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation.

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Pattern Recognit., 2004

Two-Dimensional Linear Discriminant Analysis.

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Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Efficient Kernel Discriminant Analysis via QR Decomposition.

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Vladimir Cherkassky

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

GPCA: an efficient dimension reduction scheme for image compression and retrieval.

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Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Feature extraction via generalized uncorrelated linear discriminant analysis.

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Proceedings of the Machine Learning, 2004

Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study.

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Chandra Kambhamettu

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003

A comparative study on content-based music genre classification.

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[DOI]

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Mitsunori Ogihara

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Proceedings of the SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28, 2003

Gene Functional Classification by Semisupervised Learning from Heterogeneous Data.

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Mitsunori Ogihara

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

A Framework of Individually-Focused Teleconferencing (IFT) via an Efficient 3D Reprojection Technique.

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Chandra Kambhamettu

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

2002

A Survey on Wavelet Applications in Data Mining.

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Mitsunori Ogihara

SIGKDD Explor., 2002

Improving Medical/Biological Data Classification Performance by Wavelet Preprocessing.

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Chandra Kambhamettu

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

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