Zobrazeno 1 - 10
of 91
pro vyhledávání: '"M.E. Sargin"'
Autor:
Mary Ann Jordan, Leslie Wilson, Stuart C. Feinstein, Donovan Ventimiglia, Kenneth Rose, Alphan Altinok, M.E. Sargin, Erkan Kiris, B.S. Manjunath, Michelle R. Gaylord
Publikováno v:
Journal of Biological Chemistry. 286:14257-14270
Tau is a multiply phosphorylated protein that is essential for the development and maintenance of the nervous system. Errors in Tau action are associated with Alzheimer disease and related dementias. A huge literature has led to the widely held notio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee9ef9c4b761117eac96da7e1f24958b
https://doi.org/10.1074/jbc.m111.219311
https://doi.org/10.1074/jbc.m111.219311
Publikováno v:
IEEE Transactions on Image Processing. 20:1023-1035
This paper focuses on contour tracking, an important problem in computer vision, and specifically on open contours that often directly represent a curvilinear object. Compelling applications are found in the field of bioimage analysis where blood ves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2e936f3276936c4898b659ed1176e54
https://doi.org/10.1109/tip.2010.2081680
https://doi.org/10.1109/tip.2010.2081680
Publikováno v:
ICIP
Our paper presents a novel high dimensional probability density estimation technique using any dimensionality reduction method. Our method first performs subspace reduction using any matrix factorization algorithm and estimates the density in the low
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::516f5d873458a8f854aec443e60af74d
https://doi.org/10.1109/icip.2011.6115826
https://doi.org/10.1109/icip.2011.6115826
Publikováno v:
ICME
In this paper, we propose a novel approach for detecting highlights in sports videos. The videos are temporally decomposed into a series of events based on an unsupervised event discovery and detection framework. The framework solely depends on easy-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c38680ec896d7d33d514f65067843d2
https://doi.org/10.1109/icme.2011.6012139
https://doi.org/10.1109/icme.2011.6012139
Publikováno v:
ICASSP
Automatic Language Identification (LID) in music has received significantly less attention than LID in speech. Here, we study the problem of LID in music videos uploaded on YouTube. We use a “bag-of-words” approach based on state-of-the-art conte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2834bfeb9f8046768892056c3fd8cac
https://doi.org/10.1109/icassp.2011.5947660
https://doi.org/10.1109/icassp.2011.5947660
Autor:
M.E. Sargin, Hrishikesh Aradhye
Publikováno v:
ICASSP
We consider the problem of large-scale video classification. Our attention is focused on online video services since they can provide rich cross-video signals derived from user behavior. These signals help us to extract correlated information across
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b74a69293bb05abeffc2a64ae292ff33
https://doi.org/10.1109/icassp.2011.5946854
https://doi.org/10.1109/icassp.2011.5946854
Publikováno v:
ICPR
Tracking of curvilinear structures is a task of fundamental importance in the quantitative analysis of biological structures such as neurons, blood vessels, retinal interconnects, microtubules, etc. The state of the art HMM-based contour tracking sch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c209028757b01f476a03318c1e885e48
https://doi.org/10.1109/icpr.2010.636
https://doi.org/10.1109/icpr.2010.636
Publikováno v:
ICPR
We present a method for object tracking over time sequence imagery. The image plane is represented with a 4-connected planar graph where vertices are associated with pixels. On each image, the outer contour of the object is localized by finding the o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea8d4a85c85a6adc0b45d9229d2c48d9
https://doi.org/10.1109/icpr.2010.890
https://doi.org/10.1109/icpr.2010.890
Publikováno v:
ICCV
We introduce a dynamical model for simultaneous registration and segmentation in a variational framework for image sequences, where the dynamics is incorporated using a Bayesian formulation. A linear stochastic equation relating the tracked object (o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44353714784afe693a5a4e003442304b
https://doi.org/10.1109/iccv.2009.5459170
https://doi.org/10.1109/iccv.2009.5459170
Publikováno v:
ICCV
In this paper, we present an algorithm for occlusion boundary detection. The main contribution is a probabilistic detection framework defined on spatio-temporal lattices, which enables joint analysis of image frames. For this purpose, we introduce tw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba7744e2c370dd217c81d611d20c6e62
https://doi.org/10.1109/iccv.2009.5459190
https://doi.org/10.1109/iccv.2009.5459190