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Cox, David D.
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Cox, David D.
Showing
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Cox, David D.
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1
How far can you get with a modern face recognition test set using only simple features?
by
Pinto, Nicolas
,
DiCarlo, James
,
Cox
,
David
D
.
Published 2010
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2
Comparing state-of-the-art visual features on invariant object recognition tasks
by
Pinto, Nicolas
,
Barhomi, Youssef
,
Cox
,
David
D
.
,
DiCarlo, James
Published 2012
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3
A high-throughput screening approach to discovering good forms of inspired visual representation
by
Pinto, Nicolas
,
Doukhan, David
,
DiCarlo, James
,
Cox
,
David
D
.
Published 2010
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Cox
,
David
D
....
”
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4
What response properties do individual neurons need to underlie position and clutter "invariant" object recognition?
by
Li, Nuo
,
Cox
,
David
D
.
,
Zoccolan, Davide
,
DiCarlo, James
Published 2011
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Cox
,
David
D
....
”
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5
A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation
by
Cox
,
David
D
.
,
Pinto, Nicolas
,
Doukhan, David
,
DiCarlo, James
Published 2010
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Cox
,
David
D
....
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6
A rodent model for the study of invariant visual object recognition
by
Zoccolan, Davide
,
DiCarlo, James
,
Oertelt, Nadja
,
Cox
,
David
D
.
Published 2010
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7
Diversity and evolution of class 2 CRISPR-Cas systems
by
Shmakov, Sergey
,
Smargon, Aaron Andrew
,
Scott, David (David Arthur)
,
Cox
,
David
D
.
,
Pyzocha, Neena
,
Yan, Winston Xia
,
Abudayyeh, Omar O.
,
Gootenberg, Jonathan S
,
Makarova, Kira S.
,
Wolf, Yuri I.
,
Severinov, Konstantin
,
Zhang, Feng
,
Koonin, Eugene V.
Published 2020
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