Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dwaipayan Choudhury"'
Autor:
Dwaipayan Choudhury, Lizhi Xiang, Aravind Rajam, Anantharaman Kalyanaraman, Partha Pratim Pande
Publikováno v:
ACM Transactions on Design Automation of Electronic Systems. 28:1-16
Graph application workloads are dominated by random memory accesses with the poor locality. To tackle the irregular and sparse nature of computation, ReRAM-based Processing-in-Memory (PIM) architectures have been proposed recently. Most of these ReRA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b8f221fd7ee3ca2109aeda882520a3f
https://doi.org/10.1145/3564290
https://doi.org/10.1145/3564290
Autor:
Dwaipayan Choudhury, Reet Barik, Aravind Sukumaran Rajam, Ananth Kalyanaraman, Partha Pratim Pande
Publikováno v:
ACM Transactions on Design Automation of Electronic Systems. 27:1-22
Manycore GPU architectures have become the mainstay for accelerating graph computations. One of the primary bottlenecks to performance of graph computations on manycore architectures is the data movement. Since most of the accesses in graph processin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aec98a47bf303a95bfcbbca8b4216c03
https://doi.org/10.1145/3514354
https://doi.org/10.1145/3514354
Publikováno v:
Soft Computing. 22:889-903
Emotion recognition has been of great interest in psychology, machine intelligence, human–machine interaction and biomedical fields. This paper proposes a novel soft computing technique for facial emotion recognition by introducing edge- enhanced b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a576f9dc6a66c78b058bebbb6a5ced9c
https://doi.org/10.1007/s00500-016-2395-4
https://doi.org/10.1007/s00500-016-2395-4
Publikováno v:
2017 International Conference on Communication and Signal Processing (ICCSP).
This paper proposes an automated system based on Radon's decomposition followed by correlated Hilbert transform for recognizing the emotion reflected on facial images. In this method, signals obtained from successive projection of Radon Transform on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7eb1853c8554d0b0bd4c82a9e4f560e9
https://doi.org/10.1109/iccsp.2017.8286578
https://doi.org/10.1109/iccsp.2017.8286578
Publikováno v:
2016 IEEE First International Conference on Control, Measurement and Instrumentation (CMI).
The aim of this work is to automatically detect and analyse the emotions from the digital videos and images. Initially the images are extracted from pre-recorded videos, from which the faces are cropped automatically. The training dataset is formed w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71e3d1a07e69adb8966ec6e7e5a2c4c8
https://doi.org/10.1109/cmi.2016.7413766
https://doi.org/10.1109/cmi.2016.7413766
Publikováno v:
2015 Annual IEEE India Conference (INDICON).
This paper proposes a multilayer decomposition aided method based on textural and color feature for detection and classification of skin cancer images. Firstly, images are decomposed into a piecewise base layer and detail layer by weighted least squa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9480a28d3cec27ae6758cd6dc8cbfb44
https://doi.org/10.1109/indicon.2015.7443780
https://doi.org/10.1109/indicon.2015.7443780
Publikováno v:
2015 IEEE International Conference on Computer Graphics, Vision and Information Security (CGVIS).
In this work, a method is proposed for classification of texture images using a fusion of feature sets. Weighted guided filter based preprocessing technique has been performed using optimized cost function to enhance the discriminative property of di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dfed8e05ca082131b680d4bee007881
https://doi.org/10.1109/cgvis.2015.7449906
https://doi.org/10.1109/cgvis.2015.7449906