Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Shreve, Matthew"'
Although data is abundant, data labeling is expensive. Semi-supervised learning methods combine a few labeled samples with a large corpus of unlabeled data to effectively train models. This paper introduces our proposed method LiDAM, a semi-supervise
Externí odkaz:
http://arxiv.org/abs/2010.06668
Architectures that implement the Common Model of Cognition - Soar, ACT-R, and Sigma - have a prominent place in research on cognitive modeling as well as on designing complex intelligent agents. In this paper, we explore how computational models of a
Externí odkaz:
http://arxiv.org/abs/2006.01962
Autor:
Zamzmi, Ghada, Ruiz, Gabriel, Shreve, Matthew, Goldgof, Dmitry, Kasturi, Rangachar, Sarkar, Sudeep
We address the problem of suppressing facial expressions in videos because expressions can hinder the retrieval of important information in applications such as face recognition. To achieve this, we present an optical strain suppression method that r
Externí odkaz:
http://arxiv.org/abs/1810.02401
We introduce a new model for building conditional generative models in a semi-supervised setting to conditionally generate data given attributes by adapting the GAN framework. The proposed semi-supervised GAN (SS-GAN) model uses a pair of stacked dis
Externí odkaz:
http://arxiv.org/abs/1708.05789
Autor:
Ekambaram, Rajmadhan, Fefilatyev, Sergiy, Shreve, Matthew, Kramer, Kurt, Hall, Lawrence O., Goldgof, Dmitry B., Kasturi, Rangachar
Publikováno v:
In Pattern Recognition March 2016 51:463-480
Autor:
Shreve, Matthew, Brizzi, Jesse, Fefilatyev, Sergiy, Luguev, Timur, Goldgof, Dmitry, Sarkar, Sudeep
Publikováno v:
In Image and Vision Computing August 2014 32(8):476-486
Publikováno v:
In Ocean Engineering 1 November 2012 54:1-12
Autor:
Shreve, Matthew Adam
Publikováno v:
Graduate Theses and Dissertations.
Automatically determining the temporal characteristics of facial expressions has extensive application domains such as human-machine interfaces for emotion recognition, face identification, as well as medical analysis. However, many papers in the lit
Externí odkaz:
http://scholarcommons.usf.edu/etd/4770
http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=5967&context=etd
http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=5967&context=etd
Publikováno v:
In Pattern Recognition Letters 1 December 2014 50:34-42
Autor:
Chow, Eugene M., Lu, Jeng Ping, Rupp, Bradley B., Plochowietz, Anne, Crawford, Lara S., Shreve, Matthew, Raychaudhuri, Sourobh, Butylkov, Sergey, Wang, Yunda, Mei, Ping, Kor, Siv, Wang, Qian, Kalb, Jamie, Wang, Yu
Publikováno v:
SID Symposium Digest of Technical Papers; Jun2019, Vol. 50 Issue 1, p349-352, 4p