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检索条件"机构=School of Electrical and Computer Engineering Center for Signal and Image Processing"
411 条 记 录,以下是141-150 订阅
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Error analysis for quadtree image formation
Error analysis for quadtree image formation
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IEEE International Conference on image processing
作者: L.M. Kaplan Seung-Mok Oh M. Cobb J.H. McClellan Department of Engineering Clark Atlanta University Atlanta GA USA Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA
The quadtree image formation technique is a computationally efficient approximation to standard backprojection. Where the computational load of backprojection is O(N/sup 3/) for N sensors forming an N/spl times/N imag... 详细信息
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Nonlinear Diffusion Adaptation with Bounded Transmission over Distributed Networks
Nonlinear Diffusion Adaptation with Bounded Transmission ove...
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IEEE International Conference on Communications
作者: Jongmin Lee Cihan Tepedelenlioglu Mahesh K. Banavar Andreas Spanias Signal and Information Processing (SenSIP) Center School of Electrical Computer and Energy Engineering Arizona State University Department of Electrical and Computer Engineering Clarkson University
This paper introduces diffusion adaptation strategies over distributed networks with nonlinear transmissions, motivated by the necessity for bounded transmit power. Local information is exchanged in real-time with nei... 详细信息
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Exploiting linear block codes for blind co-channel interference reduction in TDMA based wireless communication systems
Exploiting linear block codes for blind co-channel interfere...
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Asilomar Conference on signals, Systems & computers
作者: J.D. Terry D.B. Williams School of Electrical and Computer Engineering Georgia Institute of Technology USA Texas Instruments Inc. Dallas TX USA Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA
In this paper, we present a novel array processing technique for co-channel interference reduction for TDMA based mobile satellite communication systems using linear block codes. This technique combines least squares ... 详细信息
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Motion compensated compression of computer animation frames  93
Motion compensated compression of computer animation frames
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20th International Conference on computer Graphics and Interactive Techniques, SIGGRAPH 1993
作者: Guenter, Brian K. Yun, Hee Cheol Mersereau, Russell M. Computer Animation Laboratory GVU Center College of Computing Georgia Institute of Technology AtlantaGA30332 United States Digital Signal Processing Labratory School of Electrical Engineering Georgia Institute of Technology AtlantaGA30332 United States
This paper presents a new lossless compression algorithm for computer animation image sequences. The algorithm uses transformation information available in the animation script and floating point depth and object numb... 详细信息
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A space-time coded transmitter diversity technique for frequency selective fading channels
A space-time coded transmitter diversity technique for frequ...
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Sensor Array and Multichannel signal processing Workshop
作者: K.F. Lee D.B. Williams Motorola Inc. Boynton Beach FL USA Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA
A simple space-time coded orthogonal frequency division multiplexing (OFDM) transmitter diversity technique for wireless communications over frequency selective fading channels is presented. The proposed technique uti... 详细信息
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Non-iterative rate-constrained motion estimation for OBMC
Non-iterative rate-constrained motion estimation for OBMC
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IEEE International Conference on image processing
作者: J.K. Su R.M. Mersereau Center for Signal and Image Processing Georgia Tech Research Institute Georgia Institute of Technology Atlanta GA USA School of Electrical and Computer Engineering Atlanta GA USA
For many video compression systems, overlapped block motion compensation (OBMC) provides an effective extension of traditional block MC (BMC). However, because OBMC causes noncausal spatial interaction between blocks,... 详细信息
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Gradients as a Measure of Uncertainty in Neural Networks
Gradients as a Measure of Uncertainty in Neural Networks
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IEEE International Conference on image processing
作者: Jinsol Lee Ghassan AlRegib OLIVES at the Center for Signal and Information Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA
Despite tremendous success of modern neural networks, they are known to be overconfident even when the model encounters inputs with unfamiliar conditions. Detecting such inputs is vital to preventing models from makin... 详细信息
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Contrastive Explanations In Neural Networks
Contrastive Explanations In Neural Networks
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IEEE International Conference on image processing
作者: Mohit Prabhushankar Gukyeong Kwon Dogancan Temel Ghassan AlRegib OLIVES at the Center for Signal and Information Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA
Visual explanations are logical arguments based on visual features that justify the predictions made by neural networks. Current modes of visual explanations answer questions of the form `Why P.7'. These Why quest... 详细信息
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Novelty Detection Through Model-Based Characterization of Neural Networks
Novelty Detection Through Model-Based Characterization of Ne...
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IEEE International Conference on image processing
作者: Gukyeong Kwon Mohit Prabhushankar Dogancan Temel Ghassan AlRegib OLIVES at the Center for Signal and Information Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA
In this paper, we propose a model-based characterization of neural networks to detect novel input types and conditions. Novelty detection is crucial to identify abnormal inputs that can significantly degrade the perfo... 详细信息
来源: 评论
Adaptive Video Subsampling For Energy-Efficient Object Detection
Adaptive Video Subsampling For Energy-Efficient Object Detec...
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Asilomar Conference on signals, Systems & computers
作者: Divya Mohan Sameeksha Katoch Suren Jayasuriya Pavan Turaga Andreas Spanias Sensor Signal and Information Processing (SenSIP) Center School of Electrical Computer and Energy Engineering Arizona State University
Energy-efficient computer vision is vitally important for embedded and mobile platforms where a longer battery life can allow increased deployment in the field. In image sensors, one of the primary causes of energy ex... 详细信息
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