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检索条件"主题词=sparse coding"
2101 条 记 录,以下是2051-2060 订阅
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ADAPTIVE COMPRESSED SENSING - A NEW CLASS OF SELF-ORGANIZING coding MODELS FOR NEUROSCIENCE
ADAPTIVE COMPRESSED SENSING - A NEW CLASS OF SELF-ORGANIZING...
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IEEE International Conference on Acoustics, Speech, and Signal Processing
作者: William K. Coulter Christopher J. Hillar Guy Isley Friedrich T. Sommer University of California Berkeley 156 Stanley Hall MC 3220 Berkeley CA 94720-3220 Mathematical Sciences Research Institute 17 Gauss Way Berkeley CA 94120
sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. However, conventional sparse coding model... 详细信息
来源: 评论
Factorized Latent Spaces with Structured Sparsity  10
Factorized Latent Spaces with Structured Sparsity
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Annual Conference on Neural Information Processing Systems
作者: Yangqing Jia Mathieu Salzmann Trevor Darrell UC Berkeley EECS and ICSI UC Berkeley EECS and ICSI TTI-Chicago
Recent approaches to multi-view learning have shown that factorizing the information into parts that are shared across all views and parts that are private to each view could effectively account for the dependencies a... 详细信息
来源: 评论
EDGE PRESERVING SINGLE IMAGE SUPER RESOLUTION IN sparse ENVIRONMENT
EDGE PRESERVING SINGLE IMAGE SUPER RESOLUTION IN SPARSE ENVI...
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IEEE International Conference on Image Processing
作者: Srimanta Mandal Anil Kumar Sao School of Computing and Electrical Engineering Indian Institute of Technology Mandi India
Quality of an image is associated with edge of the image. It is important to preserve the edge of the image while deriving high resolution (HR) image from low resolution (LR) image, also known as super-resolution (SR)... 详细信息
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Histograms of sparse Codes for Object Detection
Histograms of Sparse Codes for Object Detection
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IEEE Conference on Computer Vision and Pattern Recognition
作者: Xiaofeng Ren Deva Ramanan *** University of California
Object detection has seen huge progress in recent years, much thanks to the heavily-engineered Histograms of Oriented Gradients (HOG) features. Can we go beyond gradients and do better than HOG? We provide an affirmat... 详细信息
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Using A New Approach in Deep Dictionary Learning to Handwriting Number Classification
Using A New Approach in Deep Dictionary Learning to Handwrit...
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International CSI Computer Conference, CSICC
作者: Azadeh Montazeri Mahboubeh Shamsi Rouhollah Dianat Department of Information Technology Faculty of Computer University of Qom Iran Department of Computer Faculty of Computer and Electrical Qom University of Technology Iran
Dictionary learning and sparse representation is a successful mathematical model for data representation that achieves state-of-the-art performance in various fields such as pattern recognition, machine learning, comp... 详细信息
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sparse Representation based on Matrix Rank Minimization and K-Means Clustering for Recognition
Sparse Representation based on Matrix Rank Minimization and ...
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International Joint Conference on Neural Networks
作者: Long Ma Chunheng Wang Baihua Xiao State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China 100190
In this paper, we propose a sparse coding algorithm based on matrix rank minimization and k-means clustering and for recognition. We consider the problem of removing the noise in the training samples and generating mo... 详细信息
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IMAGE RETRIEVAL WITH HIERARCHICAL MATCHING PURSUIT
IMAGE RETRIEVAL WITH HIERARCHICAL MATCHING PURSUIT
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IEEE International Conference on Image Processing
作者: Shasha Bu Yu-Jin Zhang Department of Electronic Engineering Tsinghua University Tsinghua National Laboratory for Information Science and Technology
A novel representation of images for image retrieval is introduced in this paper, by using a new type of feature with remarkable discriminative power. Despite the multi-scale nature of objects, most existing models pe... 详细信息
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Image Denoising Algorithm Based on Incoherent Dictionary Learning
Image Denoising Algorithm Based on Incoherent Dictionary Lea...
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第三十八届中国控制会议
作者: Jianjun Li Junhua Wang Junshan Li The institute of information science & technology Guangdong University of Foreign Studies South China Business College
Aiming at the deficiency of losing texture information in image filtering process, an image filtering algorithm based on uncorrelated dictionary learning is proposed. Firstly, the noisy image is divided into overlappi... 详细信息
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Fast exemplar selection algorithm for matrix approximation and representation: A variant oASIS algorithm
Fast exemplar selection algorithm for matrix approximation a...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: V. Abrol P. Sharma A. K. Sao School of Computing and Electrical Engineering Indian Institute of Technology Mandi India
Extracting inherent patterns from large data using decompositions of data matrix by a sampled subset of exemplars has found many applications in machine learning. We propose a computationally efficient algorithm for a... 详细信息
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A GREEDY ALGORITHM FOR MODEL SELECTION OF TENSOR DECOMPOSITIONS
A GREEDY ALGORITHM FOR MODEL SELECTION OF TENSOR DECOMPOSITI...
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IEEE International Conference on Acoustics, Speech, and Signal Processing
作者: Austin J. Brockmeier Jose C. Principe Anh Huy Phan Andrzej Cichocki Electrical and Computer Engineering Department University of Florida Gainesville FL Brain Science Institute RIKEN Wako-shi Saitama Japan
Various tensor decompositions use different arrangements of factors to explain multi-way data. Components from different decompositions can vary in the number of parameters. Allowing a model to contain components from... 详细信息
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