Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Matthew Boutell"'
Publikováno v:
2009 Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc75c7e1df4abcf7e7d2603a07edc90c
https://doi.org/10.18260/1-2--4962
https://doi.org/10.18260/1-2--4962
Autor:
Matthew Boutell, David Fisher
Publikováno v:
FIE
Engineering courses often make use of term projects to tie together course concepts and enable open-ended learning. Projects can also be used to teach entrepreneurial-minded learning (EML). At Rose-Hulman we offer mobile/web app development in 4 diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::331c3871209b531cdb1f0fd518350fbc
https://doi.org/10.1109/fie.2017.8190436
https://doi.org/10.1109/fie.2017.8190436
Autor:
Matthew Boutell
Publikováno v:
SIGCSE
The face-to-face interaction in a traditional classroom on campus provides many benefits to students: the ability to ask questions and get immediate feedback, external motivation from the instructor and peers to succeed, the joy of interaction, and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a92803a0f3aa1a74473ebd0cca42b12
https://doi.org/10.1145/3017680.3017774
https://doi.org/10.1145/3017680.3017774
Publikováno v:
IEEE Transactions on Multimedia. 9:136-146
Semantic scene classification is a challenging problem in computer vision. In contrast to the common approach of using low-level features computed from the whole scene, we propose "scene parsing" utilizing semantic object detectors (e.g., sky, foliag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25720f0206d9354668bda5bb2326bca6
https://doi.org/10.1109/tmm.2006.886372
https://doi.org/10.1109/tmm.2006.886372
Publikováno v:
IEEE Signal Processing Magazine. 23:101-114
Considerable research has been devoted to the problem of multimedia indexing and retrieval in the past decade. However, limited by state-of-the-art in image understanding, the majority of the existing content-based image retrieval (CBIR) systems have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52be00e1f3c8ff24a901cf0a27bdc0ff
https://doi.org/10.1109/msp.2006.1598086
https://doi.org/10.1109/msp.2006.1598086
Publikováno v:
Multimedia Systems. 11:82-92
Semantic scene classification is an open problem in computer vision, especially when information from only a single image is employed. In applications involving image collections, however, images are clustered sequentially, allowing surrounding image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70163658bdd4682401f67aea65b2a85e
https://doi.org/10.1007/s00530-005-0202-7
https://doi.org/10.1007/s00530-005-0202-7
Autor:
Matthew Boutell, Jiebo Luo
Publikováno v:
Pattern Recognition. 38:1507-1519
Principal component analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition [Turk and Pentland, J. Cognitive Neurosci. 3(1) (1991)]. In natural scene classification, Oliva and Torralba prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b318b75da0aaf1e697eb58eb12ec9a62
https://doi.org/10.1016/j.patcog.2005.02.015
https://doi.org/10.1016/j.patcog.2005.02.015
Autor:
Jiebo Luo, Matthew Boutell
Publikováno v:
Pattern Recognition. 38:935-946
Semantic scene classification based only on low-level vision cues has had limited success on unconstrained image sets. On the other hand, camera metadata related to capture conditions provide cues independent of the captured scene content that can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4488b10e43a30ea64ae194c5442d162
https://doi.org/10.1016/j.patcog.2004.11.013
https://doi.org/10.1016/j.patcog.2004.11.013
Publikováno v:
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). 35:563-570
The performance of an exemplar-based scene classification system depends largely on the size and quality of its set of training exemplars, which can be limited in practice. In addition, in nontrivial data sets, variations in scene content as well as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::725849b2f5870819da6a8690f1bd32c5
https://doi.org/10.1109/tsmcb.2005.846677
https://doi.org/10.1109/tsmcb.2005.846677
Publikováno v:
Pattern Recognition. 37:1757-1771
In classic pattern recognition problems, classes are mutually exclusive by definition. Classification errors occur when the classes overlap in the feature space. We examine a different situation, occurring when the classes are, by definition, not mut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8ccd69c3ff535b0901d35316d007458
https://doi.org/10.1016/j.patcog.2004.03.009
https://doi.org/10.1016/j.patcog.2004.03.009