Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Frank P. Ferrie"'
Publikováno v:
Food Engineering Reviews. 15:242-260
Publikováno v:
Mathematical Geosciences. 54:1097-1119
A new non-stationary, high-order sequential simulation method is presented herein, aiming to accommodate complex curvilinear patterns when modelling non-Gaussian, spatially distributed and variant attributes of natural phenomena. The proposed approac
Publikováno v:
Advances in Data Analysis and Classification. 12:341-363
Finding the set of nearest neighbors for a query point of interest appears in a variety of algorithms for machine learning and pattern recognition. Examples include k nearest neighbor classification, information retrieval, case-based reasoning, manif
Publikováno v:
CRV
Variations between related images (e.g. due to motions) can caused by different independent factors. A qualified representation can decouple the underlying explanatory factors rather than keeping them mixed. After decoupling, each factor lies in a lo
Autor:
Frank P. Ferrie, Dimitrios Gallos
Publikováno v:
CRV
In this work, we examine the literature of active object recognition in the past and present. We note that methods in the past used a notion of recognition ambiguity in order to find a next best view policy that could disambiguate the object with the
Autor:
Brian Gleeson, Frank P. Ferrie, Elizabeth A. Croft, Justin W. Hart, Denis Laurandeau, Clément Gosselin, Sara Sheikholeslami, Karon E. MacLean
Publikováno v:
Foundations of Trusted Autonomy ISBN: 9783319648156
The Collaborative Advanced Robotics and Intelligent Systems (CARIS) laboratory at the University of British Columbia studies the development of robotic systems that are capable of autonomous human-robot interaction. This chapter will provide an overv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::970ebe70dceb7c669cdf42e7e0fa8aa1
https://doi.org/10.1007/978-3-319-64816-3_14
https://doi.org/10.1007/978-3-319-64816-3_14
Publikováno v:
Geostatistics Valencia 2016 ISBN: 9783319468181
This paper presents a new high-order, nonstationary sequential simulation approach, aiming to deal with the typically complex, curvilinear structures and high-order spatial connectivity of the attributes of natural phenomena. Similar to multipoint me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::438e8d1f58f3ef459253e3a8e44e2635
https://doi.org/10.1007/978-3-319-46819-8_6
https://doi.org/10.1007/978-3-319-46819-8_6
Publikováno v:
Photogrammetric Engineering & Remote Sensing. 78:1129-1140
This article describes how mobile lidar (light detection and ranging) data collection is a rapidly emerging technology where multiple georeferenced sensors (e.g., laser scanners, cameras) are mounted on a moving vehicle to collect real world data. Th
Publikováno v:
CRV
This paper addresses the problem of interpolating over a sparse, discontinuous field of data points. As data become sparse, interpolation becomes problematic as the connectivity between points is less apparent. Cues such as provided by image flows be
Publikováno v:
CRV
Many computer vision applications compare the shapes of objects, but few papers provide meaningful comparisons between different shape distance metrics. This paper will begin by summarily describing six metrics that are widely used in the literature.