Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Scott Deeann Chen"'
Autor:
Nicolas Perrin, Hamid Farzan, Scott Deeann Chen, Lu Yongqi, Massoud Rostam-Abadi, C Arun Bose, Fabienne Châtel-Pélage, Rajani K. Varagani, J Stanley Vecci, Pavol Pranda
Publikováno v:
Thermal Science, Vol 10, Iss 3, Pp 119-142 (2006)
Two promising combustion modification approaches applicable to pulverized coal fired boilers are presented: "Oxygen-Enriched Combustion" (OEC) for NOx control and "Oxy-Combustion" (PC-OC) for CO2 capture. Oxygen-enriched air rather than air is used a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3799639579178faaaf1bebaa822f0331
http://www.doiserbia.nb.rs/img/doi/0354-9836/2006/0354-98360603119C.pdf
http://www.doiserbia.nb.rs/img/doi/0354-9836/2006/0354-98360603119C.pdf
Autor:
Scott Deeann Chen, Pierre Moulin
Publikováno v:
ACSSC
We design a joint compression and classification system that optimizes visual fidelity and classification accuracy under a bit rate constraint. We propose a classification centric quantizer (CCQ) whose parameters are learned from labeled training dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c47efadfb58daf88f4edfab68070175
https://doi.org/10.1109/acssc.2014.7094844
https://doi.org/10.1109/acssc.2014.7094844
Autor:
Pierre Moulin, Scott Deeann Chen
Publikováno v:
ICASSP
Traditional compression techniques optimize signal fidelity under a bit rate constraint. However, signals are often not only reconstructed for human evaluation purposes but also analyzed by machines. This paper introduces a two-part predictive (2PP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccfac18d0c04a3dd1394d1d176e17f73
https://doi.org/10.1109/icassp.2014.6853956
https://doi.org/10.1109/icassp.2014.6853956
Autor:
Scott Deeann Chen, Frank B. Meserole, Todd R. Carey, Massoud Rostam-Abadi, Carl F. Richardson, Ramsay Chang
Publikováno v:
Environmental Progress. 19:167-174
One promising approach for removing mercury from coal-fired, utility flue gas involves the direct injection of mercury sorbents. Although this method has been effective at removing mercury in municipal waste incinerators, tests conducted to date on u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dab42d4d09a091da408015fe590ff6f
https://doi.org/10.1002/ep.670190309
https://doi.org/10.1002/ep.670190309
Publikováno v:
Energy & Fuels. 12:1071-1078
A new pore size distribution (PSD) model is developed to readily describe PSDs of microporous materials with an analytical expression. Results from this model can be used to calculate the corresponding adsorption isotherm to compare the calculated is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d464de7608e97aa93986288ff67bee6
https://doi.org/10.1021/ef980108o
https://doi.org/10.1021/ef980108o
Publikováno v:
ICDM
We propose a heterogeneous information network mining algorithm: feature-enhanced Rank Class (F-Rank Class). F-Rank Class extends Rank Class to a unified classification framework that can be applied to binary or multiclass classification of unimodal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b665ecf1938204d832d3c46728974964
https://doi.org/10.1109/icdm.2013.71
https://doi.org/10.1109/icdm.2013.71
Publikováno v:
ICASSP
Separating singing voices from music accompaniment is an important task in many applications, such as music information retrieval, lyric recognition and alignment. Music accompaniment can be assumed to be in a low-rank subspace, because of its repeti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d1ec3b639206581e16d193970e45035
https://doi.org/10.1109/icassp.2012.6287816
https://doi.org/10.1109/icassp.2012.6287816
Publikováno v:
MMSP
This paper proposes learning algorithms for the problem of multimodal document classification. Specifically, we develop classifiers that automatically assign documents to categories by exploiting features from both text as well as image content. In p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bac75e16705924e7b52dc1787ce52cc2
https://doi.org/10.1109/mmsp.2009.5293343
https://doi.org/10.1109/mmsp.2009.5293343