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检索条件"机构=Program in Computer Science and Division of Applied Mathematics"
1705 条 记 录,以下是1581-1590 订阅
排序:
Combining top-down and bottom-up segmentation
Combining top-down and bottom-up segmentation
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2004 IEEE computer Society Conference on computer Vision and Pattern Recognition Workshops, CVPRW 2004
作者: Borenstein, Eran Sharon, Eitan Ullman, Shimon Faculty of Mathematics and Computer Science Weizmann Institute of Science Rehovot76100 Israel Division of Applied Mathematics Brown University ProvidenceRI02912 United States
In this work we show how to combine bottom-up and top-down approaches into a single figure-ground segmentation process. This process provides accurate delineation of object boundaries that cannot be achieved by either... 详细信息
来源: 评论
Combining Top-Down and Bottom-Up Segmentation
Combining Top-Down and Bottom-Up Segmentation
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IEEE computer Society Conference on computer Vision and Pattern Recognition Workshops (CVPRW)
作者: E. Borenstein E. Sharon S. Ullman Faculty of Mathematics and Computer Science Weizmann Institute of Science Rehovot Israel Division of Applied Mathematics Brown University Providence RI USA
In this work we show how to combine bottom-up and top-down approaches into a single figure-ground segmentation process. This process provides accurate delineation of object boundaries that cannot be achieved by either... 详细信息
来源: 评论
Closed-loop neural control of cursor motion using a Kalman filter
Closed-loop neural control of cursor motion using a Kalman f...
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
作者: W. Wu A. Shaikhouni J.R. Donoghue M.J. Black Division of Applied Mathematics Brown University Providence RI USA Department of Neuroscience Brown University Providence RI USA Department of Computer Science Brown University Providence RI USA
Recently, we proposed a Kalman filter method to model the probabilistic relationship between neural firing in motor cortex and hand kinematics. In this paper, we demonstrate on-line, closed-loop, neural control of cur... 详细信息
来源: 评论
Application of genetic algorithm/k-nearest neighbor method to the classification of renal cell carcinoma
Application of genetic algorithm/k-nearest neighbor method t...
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Proceedings of the IEEE Computational Systems Bioinformatics Conference, CSB
作者: Dongqing Liu Ting Shi J.A. DiDonato J.D. Carpten Jianping Zhu Zhong-Hui Duan Department of Computer Science University of Akron Akron OH USA Department of Cancer Biology Cleveland Clinic Foundation Cleveland OH USA Genetic Basis of Human Disease Research Division Translational Genomics Research Institute Phoenix Tempe AZ USA Department of Theoretical and Applied Mathematics University of Akron Akron OH USA
In this study, we use a genetic algorithm and k-nearest neighbor method to classify two subtypes of renal cell carcinoma using a set of microarray gene expression profiles of nine samples (three clear cell tumors and ... 详细信息
来源: 评论
On the queueing behavior of multiple first-order autoregressive sources
On the queueing behavior of multiple first-order autoregress...
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IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)
作者: Gang Uk Hwan K. Sohraby Div. of Appl. Math. Korea Adv. Inst. of Sci. & Technol. Taejeon South Korea School of Computing and Engineering Department of Computer Science and Electrical Engineering University of Missouri Kansas City Kansas City MO USA Division of Applied Mathematics Korea Advanced Institute of Science and Technology Yuseong-gu Taejeon South Korea
It is generally believed that the queueing behavior of an arrival process is most sensitive to its first and second order statistics. In this paper, we show that this is not generally true. We consider the queueing be... 详细信息
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The advantage of balanced-allocation routing for ATM networks
The advantage of balanced-allocation routing for ATM network...
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IEEE International Symposium on Information Theory
作者: A. Anagnostopoulos I. Kontoyiannis E. Upfal Computer Science Department Brown University Providence RI USA Division of Applied Mathematics and Department of Computer Science Brown University Providence RI USA
We compare the long-term, steady-state performance of a variant of the standard dynamic alternative routing (DAR) technique commonly used in telephone and ATM networks, to the performance of a path-selection algorithm... 详细信息
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A quantitative comparison of linear and non-linear models of motor cortical activity for the encoding and decoding of arm motions  1
A quantitative comparison of linear and non-linear models of...
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1st International IEEE EMBS Conference on Neural Engineering
作者: Gao, Yun Black, Michael J. Bienenstock, Elie Wu, Wei Donoghue, John P. Division of Applied Mathematics Brown University ProvidenceRI02912 United States Dept. of Computer Science Brown University Box 1910 ProvidenceRI02912 United States Dept. of Neuroscience Brown University ProvidenceRI02912 United States
Many models have been proposed for the motor cortical encoding of arm motion. In particular, recent work has shown that simple linear models can be used to approximate the firing rates of a population of cells in prim... 详细信息
来源: 评论
Neural decoding of cursor motion using a Kalman filter  15
Neural decoding of cursor motion using a Kalman filter
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16th Annual Neural Information Processing Systems Conference, NIPS 2002
作者: Wu, W. Black, M.J. Gao, Y. Bienenstock, E. Serruya, M. Shaikhouni, A. Donoghue, J.P. Division of Applied Mathematics Brown University Providence RI 02912 United States Dept. of Computer Science Brown University Providence RI 02912 United States Dept. of Neuroscience Brown University Providence RI 02912 United States Division of Biology and Medicine Brown University Providence RI 02912 United States
The direct neural control of external devices such as computer displays or prosthetic limbs requires the accurate decoding of neural activity representing continuous movement. We develop a real-time control system usi... 详细信息
来源: 评论
A switching Kalman filter model for the motor cortical coding of hand motion
A switching Kalman filter model for the motor cortical codin...
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
作者: Wei Wu M.J. Black D. Mumford Yun Gao E. Bienenstock J.P. Donoghue Division of Applied Mathematics Brown University Providence RI Dept. of Computer Science Brown University Providence RI USA Division of Applied Mathematics Brown University Providence RI USA Dept. of Neuroscience Brown University Providence RI USA
We present a switching Kalman filter model (SKFM) for the real-time inference of hand kinematics from a population of motor cortical neurons. First we model the probability of the firing rates of the population at a p... 详细信息
来源: 评论
A quantitative comparison of linear and non-linear models of motor cortical activity for the encoding and decoding of arm motions
A quantitative comparison of linear and non-linear models of...
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International IEEE/EMBS Conference on Neural Engineering, CNE
作者: Yun Gao M.J. Black E. Bienenstock Wei Wu J.P. Donoghue Division of Applied Mathematics Brown University Providence RI USA Department of Computer Science Brown University Providence RI USA Division of Applied Mathematics Department of Neuroscience Brown University Providence RI USA Department of Neuroscience Brown University Providence RI USA
Many models have been proposed for the motor cortical encoding of arm motion. In particular, recent work has shown that simple linear models can be used to approximate the firing rates of a population of cells in prim... 详细信息
来源: 评论