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custom_extra.bib
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@thesis{parham_photographic_2015,
location = {Troy, {NY}},
title = {Photographic censusing of zebra and giraffe in the Nairobi National Park},
url = {http://gradworks.umi.com/10/00/10006301.html},
institution = {Department of Computer Science, Rensselaer Polytechnic Institute},
type = {M.S. thesis},
author = {Parham, Jason R.},
urldate = {2016-03-04},
date = {2015-11},
year=2015,
note = {00001
bibtex: parham\_photographic\_2015},
keywords = {animals},
file = {Snapshot:/home/joncrall/.zotero/zotero/q70dyzwb.default/zotero/storage/2K32CEVR/10006301.html:text/html}
}
@incollection{rubenstein_ecology_2010,
abstract = {methods and materials show point},
author = {Rubenstein, Daniel I.},
address = {London, UK},
booktitle = {Advances in the Study of Behavior},
date = {2010},
pages = {231--258},
pub_abbrev = {Advances in the Study of Behavior},
pub_full = {Advances in the Study of Behavior},
pub_type = {book},
publisher = {Elsevier},
title = {Ecology, Social Behavior, and Conservation in Zebras},
urldate = {2015-07-16},
volume = {42},
year = {2010}
}
@book{hartley_multiple_2003,
abstract = {homog estimation {RANSAC}},
author = {Hartley, Richard and Zisserman, Andrew},
date = {2003},
pagetotal = {676},
publisher = {Cambridge University Press},
address = {New York, NY, USA}
url = {http://cvrs.whu.edu.cn/downloads/ebooks/Multiple%20View%20Geometry%20in%20Computer%20Vision%20(Second%20Edition).pdf}
title = {Multiple View Geometry in Computer Vision},
year = {2003}
}
@book{krebs_ecological_1999,
author = {Krebs, Charles},
date = {1999},
publisher = {Benjamin Cummings},
address={Menlo Park, California, USA}
title = {Ecological Methodology},
volume = {620},
year = {1999}
}
@book{lanczos_applied_1988,
abstract = {Basic text for graduate and advanced undergraduate},
author = {Lanczos, Cornelius},
date = {1988},
address = {North Chelmsford, MA, USA}
pagetotal = {576},
publisher = {Courier Corporation},
title = {Applied Analysis},
year = {1988}
}
@book{vazirani_approximation_2013,
abstract = {Although this may seem a paradox, all},
author = {Vazirani, Vijay V.},
date = {2013-03-14},
pagetotal = {390},
publisher = {Springer-Verlag},
address = {Berlin, DE}
title = {Approximation Algorithms},
year = {2013}
}
@incollection{rubenstein_behavioral_1998,
author = {Rubenstein, Daniel I.},
booktitle = {Behavioral ecology and conservation policy},
date = {1998},
edition = {1},
pages = {527--556},
pub_abbrev = {Behavioral ecology and conservation policy},
pub_full = {Behavioral ecology and conservation policy},
pub_type = {book},
publisher = {Oxford University Press},
address = {New York, NY, USA}
series = {Behavioral ecology and conservation biology},
title = {Behavioral ecology and conservation policy: on balancing science, applications, and advocacy},
year = {1998}
}
//@book{szeliski_computer_2010,
// title = {Computer vision: algorithms and applications},
// url = {http://books.google.com/books?hl=en&lr=&id=bXzAlkODwa8C&oi=fnd&pg=PR4&dq=%22of+computer+vision+to+fun+problems+such+as+image+stitching+and+photo-based%22+%22that+time,+a+similar+syllabus+and+project-oriented+course+structure+has+been+used%22+%22from+personal+photos+seemed+to+resonate+well+with+our%22+&ots=gZ_53YjBGC&sig=lGXsBsNNji3JvseLL475VOQWomo},
// shorttitle = {Computer vision},
// publisher = {Springer Science \& Business Media},
// author = {Szeliski, Richard},
// urldate = {2015-05-29},
// date = {2010},
// year=2010,
// note = {00000},
// keywords = {landmark-paper}
//}
@incollection{szeliski_computer_2010,
author = {Szeliski, Richard},
date = {2010},
publisher = {Springer-Verlag},
address = {London, UK},
title = {Computer vision: algorithms and applications},
urldate = {2015-05-29},
year = {2010}
pages = {311--320}
}
@book{vazirani_approximation_2013,
title = {Approximation Algorithms},
isbn = {978-3-662-04565-7},
abstract = {Although this may seem a paradox, all exact science is dominated by the idea of approximation. Bertrand Russell (1872-1970) Most natural optimization problems, including those arising in important application areas, are {NP}-hard. Therefore, under the widely believed con jecture that P -=/= {NP}, their exact solution is prohibitively time consuming. Charting the landscape of approximability of these problems, via polynomial time algorithms, therefore becomes a compelling subject of scientific inquiry in computer science and mathematics. This book presents the theory of ap proximation algorithms as it stands today. It is reasonable to expect the picture to change with time. This book is divided into three parts. In Part I we cover combinato rial algorithms for a number of important problems, using a wide variety of algorithm design techniques. The latter may give Part I a non-cohesive appearance. However, this is to be expected - nature is very rich, and we cannot expect a few tricks to help solve the diverse collection of {NP}-hard problems. Indeed, in this part, we have purposely refrained from tightly cat egorizing algorithmic techniques so as not to trivialize matters. Instead, we have attempted to capture, as accurately as possible, the individual character of each problem, and point out connections between problems and algorithms for solving them.},
pagetotal = {390},
publisher = {Springer Science \& Business Media},
author = {Vazirani, Vijay V.},
date = {2013-03-14},
langid = {english},
note = {03151}
}
//@article{pedregosa_scikit_learn_2011,
// title = {Scikit-learn: Machine learning in Python},
// volume = {12},
// url = {http://www.jmlr.org/papers/v12/pedregosa11a.html},
// shorttitle = {Scikit-learn},
// pages = {2825--2830},
// issue = {Oct},
// journaltitle = {Journal of Machine Learning Research},
// author = {Pedregosa, Fabian and Varoquaux, Gaël and Gramfort, Alexandre and Michel, Vincent and Thirion, Bertrand and Grisel, Olivier and Blondel, Mathieu and Prettenhofer, Peter and Weiss, Ron and Dubourg, Vincent and {others}},
// urldate = {2016-11-03},
// date = {2011},
// year=2011,
// note = {03968}
//}
@incollection{jolliffe_principal_1986,
author = {Jolliffe, Ian},
booktitle = {Principal Component Analysis},
date = {1986},
edition = {1},
pages = {487},
publisher = {Springer-Verlag},
address = {New York, NY, USA}
title = {Principal Component Analysis},
urldate = {2015-08-02},
year = {1986}
}