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PAMPAS: real-valued graphical models for computer vision

Michael Isard • IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (2003)

Probabilistic models have been adopted for many computer vision applications, however inference in high-dimensional spaces remains problematic. As the state-space of a model grows, the dependencies between the dimensions lead to an exponent...

OPENALEX DOI: https://doi.org/10.1109/cvpr.2003.1211410

Computer Vision in Healthcare Applications

Junfeng Gao, Yong Yang, Pan Lin, Dong Sun Park • Journal of Healthcare Engineering (2018)

The research of computer vision, imaging processing and pattern recognition has made substantial progress during the past several decades.Also, medical imaging has attracted increasing attention in recent years due to its vital component in...

OPENALEX cc-by DOI: https://doi.org/10.1155/2018/5157020 PMC: 5857319

Ear biometrics in computer vision

Mark J. Burge, Wilhelm Burger • Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition (2002)

A class of biometrics based upon ear features is introduced for use in the development of passive identification systems. The viability of the proposed biometric is shown both theoretically in terms of the uniqueness and measurability over ...

OPENALEX DOI: https://doi.org/10.1109/icpr.2000.906202

Sparse Representation for Computer Vision and Pattern Recognition

John N. Wright, Yi Ma, Julien Mairal, Guillermo Sapiro et al. • Proceedings of the IEEE (2010)

Techniques from sparse signal representation are beginning to see significant impact in computer vision, often on nontraditional applications where the goal is not just to obtain a compact high-fidelity representation of the observed signal...

OPENALEX DOI: https://doi.org/10.1109/jproc.2010.2044470

Computer Vision and Pattern Recognition 2020

Zeynep Akata, Andreas Geiger, Torsten Sattler • International Journal of Computer Vision (2021)

This special issue covers a wide range of topics from the area of Computer Vision, Pattern Recognition, and Machine Learning.This breadth of scope is reflected by the papers included in this special issue, which touch topics including geome...

OPENALEX cc-by DOI: https://doi.org/10.1007/s11263-021-01522-3

Computer vision for microscopy diagnosis of malaria

Faik Boray TEK, Andrew Graham Dempster, İzzet Kale • Malaria Journal (2009)

This paper reviews computer vision and image analysis studies aiming at automated diagnosis or screening of malaria infection in microscope images of thin blood film smears. Existing works interpret the diagnosis problem differently or prop...

OPENALEX cc-by DOI: https://doi.org/10.1186/1475-2875-8-153 PMC: 2719653