Zobrazeno 1 - 10
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pro vyhledávání: '"Chaudhuri, B"'
Convolutional neural networks (CNNs) are trained using stochastic gradient descent (SGD)-based optimizers. Recently, the adaptive moment estimation (Adam) optimizer has become very popular due to its adaptive momentum, which tackles the dying gradien
Externí odkaz:
http://arxiv.org/abs/2105.10190
Human laugh is able to convey various kinds of meanings in human communications. There exists various kinds of human laugh signal, for example: vocalized laugh and non vocalized laugh. Following the theories of psychology, among all the vocalized lau
Externí odkaz:
http://arxiv.org/abs/1601.00833
Autor:
Yang DH; Department of Pharmaceutical Sciences, University of Connecticut, 69 North Eagleville Road, Unit 3092, Storrs, Connecticut 06269, United States., Najafian S; Department of Pharmaceutical Sciences, University of Connecticut, 69 North Eagleville Road, Unit 3092, Storrs, Connecticut 06269, United States.; Department of Chemical & Biomolecular Engineering, University of Connecticut, 191 Auditorium Road, Unit 3222, Storrs, Connecticut 06269, United States., Chaudhuri B; Department of Pharmaceutical Sciences, University of Connecticut, 69 North Eagleville Road, Unit 3092, Storrs, Connecticut 06269, United States.; Institute of Materials Science, University of Connecticut, 97 North Eagleville Road, Unit 3136, Storrs, Connecticut 06269, United States.; Department of Chemical & Biomolecular Engineering, University of Connecticut, 191 Auditorium Road, Unit 3222, Storrs, Connecticut 06269, United States., Li N; Department of Pharmaceutical Sciences, University of Connecticut, 69 North Eagleville Road, Unit 3092, Storrs, Connecticut 06269, United States.; Institute of Materials Science, University of Connecticut, 97 North Eagleville Road, Unit 3136, Storrs, Connecticut 06269, United States.; Department of Chemical & Biomolecular Engineering, University of Connecticut, 191 Auditorium Road, Unit 3222, Storrs, Connecticut 06269, United States.
Publikováno v:
Molecular pharmaceutics [Mol Pharm] 2024 Nov 04; Vol. 21 (11), pp. 5510-5528. Date of Electronic Publication: 2024 Sep 27.
With the rapid increase in the volume of Big data of this digital era, fax documents, invoices, receipts, etc are traditionally subjected to compression for the efficiency of data storage and transfer. However, in order to process these documents, th
Externí odkaz:
http://arxiv.org/abs/1410.2959
Publikováno v:
In IEEE Proceedings 2014 Fifth International Conference on Signals and Image Processing, Pages 287-291
Compression of documents, images, audios and videos have been traditionally practiced to increase the efficiency of data storage and transfer. However, in order to process or carry out any analytical computations, decompression has become an unavoida
Externí odkaz:
http://arxiv.org/abs/1404.2014
Publikováno v:
2013 Second IAPR Asian Conference on Pattern Recognition, Pages 813-817
Document Image Analysis, like any Digital Image Analysis requires identification and extraction of proper features, which are generally extracted from uncompressed images, though in reality images are made available in compressed form for the reasons
Externí odkaz:
http://arxiv.org/abs/1404.0627
Segmentation of a text-document into lines, words and characters, which is considered to be the crucial pre-processing stage in Optical Character Recognition (OCR) is traditionally carried out on uncompressed documents, although most of the documents
Externí odkaz:
http://arxiv.org/abs/1403.7783
Publikováno v:
(IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (1) , 2014, 818-825
Automatic detection of font size finds many applications in the area of intelligent OCRing and document image analysis, which has been traditionally practiced over uncompressed documents, although in real life the documents exist in compressed form f
Externí odkaz:
http://arxiv.org/abs/1402.4388
Publikováno v:
IJCA 83(15):1-6, December 2013
Extracting a block of interest referred to as segmenting a specified block in an image and studying its characteristics is of general research interest, and could be a challenging if such a segmentation task has to be carried out directly in a compre
Externí odkaz:
http://arxiv.org/abs/1402.1971
Autor:
Mehta T; Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT, USA., Mukherjee R; Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT, USA., Shah A; Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT, USA., Mastriani T; Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, CT, USA., Duran T; Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT, USA., Chaudhuri B; Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT, USA. bodhi.chaudhuri@uconn.edu.; Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, CT, USA. bodhi.chaudhuri@uconn.edu.; Institute of Material Sciences, University of Connecticut, Storrs, CT, USA. bodhi.chaudhuri@uconn.edu.
Publikováno v:
Pharmaceutical research [Pharm Res] 2023 Oct; Vol. 40 (10), pp. 2371-2381. Date of Electronic Publication: 2023 Oct 11.