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Nearest
neighbors methods are
becoming increasingly
popular for natural
resources classification,
mapping, and estimation.
Applications range from
imputation of single
tree characteristics
to regional scale multi-source
land attribute mapping.
The
goals of the Workshop
are to share and discuss
methods, applications,
and research findings;
to generate new ideas;
and to foster new partnerships
and collaborations.
Abstracts for oral and
poster presentations
are invited for the
full spectrum of nearest
neighbors and imputation
techniques including,
but not limited to,
Most Similar Neighbor
(MSN), Gradient Nearest
Neighbor (GNN), and
k-Nearest Neighbors
(k-NN). Abstracts for
both theoretical and
applied presentations
in the following and
other topic areas are
welcome:
- multi-source
natural resource
inventories
- classification
and estimation of
land cover attributes
- land
management
- mapping
- large
and small area attribute
estimation
Abstracts must
include title, author
names, affiliations,
mailing addresses,
and e-mail addresses.
Abstracts should be
no more than 500 words.
Also, indicate presentation
type as poster or oral.
Abstracts should be
submitted in English
in MS Word or LaTeX
formats to:
Andrew
Finley: afinley@stat.umn.edu
Submissions
due by June
15, 2006 (extended
to Friday, June 30,
2006).
Those who submitted
abstracts by June
15, 2006 will be
notified of abstract
selection
by June
19, 2006.
Those who submitted
abstracts after
June 15, 2006
will be notified
of abstract selection
within 2 days
of submission.
Proceedings
will be made available
on-line.
Manuscripts,
extended abstracts,
and posters will be
accepted for the proceedings
and must be submitted
by the end of the workshop, August
30, 2006.
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