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Ron Appel
Publication Activity (10 Years)
Years Active: 2012-2024
Publications (10 Years): 6
Top Topics
Boosting Framework
Theoretical Guarantees
Multi Class Problems
Object Detection
Top Venues
CoRR
ICML
J. Big Data
IEEE Trans. Pattern Anal. Mach. Intell.
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Publications
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Kevin C. Zhou
,
Mark Harfouche
,
Maxwell Zheng
,
Joakim Jönsson
,
Kyung Chul Lee
,
Kanghyun Kim
,
Ron Appel
,
Paul Reamey
,
Thomas Doman
,
Veton Saliu
,
Gregor Horstmeyer
,
Seung Ah Lee
,
Roarke Horstmeyer
Computational 3D topographic microscopy from terabytes of data per sample.
J. Big Data
11 (1) (2024)
Kevin C. Zhou
,
Mark Harfouche
,
Maxwell Zheng
,
Joakim Jönsson
,
Kyung Chul Lee
,
Ron Appel
,
Paul Reamey
,
Thomas Doman
,
Veton Saliu
,
Gregor Horstmeyer
,
Roarke Horstmeyer
Computational 3D topographic microscopy from terabytes of data per sample.
CoRR
(2023)
Kanghyun Kim
,
Pavan Chandra Konda
,
Colin L. V. Cooke
,
Ron Appel
,
Roarke Horstmeyer
Multi-element microscope optimization by a learned sensing network with composite physical layers.
CoRR
(2020)
Ron Appel
,
Pietro Perona
A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency.
ICML
(2017)
Chiara Gabella
,
Christine Durinx
,
Ron Appel
Funding knowledgebases: Towards a sustainable funding model for the UniProt use case.
F1000Research
6 (2017)
Ron Appel
,
Xavier P. Burgos-Artizzu
,
Pietro Perona
Improved Multi-Class Cost-Sensitive Boosting via Estimation of the Minimum-Risk Class.
CoRR
(2016)
Piotr Dollár
,
Ron Appel
,
Serge J. Belongie
,
Pietro Perona
Fast Feature Pyramids for Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
36 (8) (2014)
Ron Appel
,
Thomas J. Fuchs
,
Piotr Dollár
,
Pietro Perona
Quickly Boosting Decision Trees - Pruning Underachieving Features Early.
ICML (3)
(2013)
Piotr Dollár
,
Ron Appel
,
Wolf Kienzle
Crosstalk Cascades for Frame-Rate Pedestrian Detection.
ECCV (2)
(2012)