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检索条件"主题词=sparse coding"
2101 条 记 录,以下是2061-2070 订阅
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Label Propagation and Soft-similarity Measure for Graph based Constrained Semi-Supervised Learning
Label Propagation and Soft-similarity Measure for Graph base...
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International Joint Conference on Neural Networks
作者: Zhao Zhang Mingbo Zhao Tommy W. S. Chow School of Computer Science and Technology Soochow University Department of Electronic Engineering City University of Hong Kong
This paper discusses a new setting of graph based semi-supervised learning (SSL) guided using pairwise constraints (PCs). Technically, we propose a novel Graph based Constrained Semi-Supervised Learning (G-CSSL) frame... 详细信息
来源: 评论
Reconstruction of Compressively Sensed Images using Regularized sparse Dictionary Learning and Adaptive Spectral Filtering
Reconstruction of Compressively Sensed Images using Regulari...
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IEEE International Symposium on Multimedia
作者: Amol Mangirish Singbal Nishant Deepak Keni Rizwan Ahmed Ansari School of Electrical & Comp. Engg Georgia Institute of Technology Atlanta Georgia U.S.A. Environmental Earth and Geospatial Sciences NCCU North Carolina U.S.A.
sparse representation using over-complete dictionaries have shown to produce good quality results in various image processing tasks. Dictionary learning algorithms have made it possible to engineer data-adaptive dicti... 详细信息
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Learning Bound for Parameter Transfer Learning  16
Learning Bound for Parameter Transfer Learning
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Annual Conference on Neural Information Processing Systems
作者: Wataru Kumagai Faculty of Engineering Kanagawa University
We consider a transfer-learning problem by using the parameter transfer approach, where a suitable parameter of feature mapping is learned through one task and applied to another objective task. Then, we introduce the... 详细信息
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DETECTOR ANOMALY DETECTION AND STRIPE CORRECTION OF HYPERSPECTRAL DATA
DETECTOR ANOMALY DETECTION AND STRIPE CORRECTION OF HYPERSPE...
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IEEE International Geoscience and Remote Sensing Symposium
作者: Daisuke Niina Naoto Yokoya Akira Iwasaki Department of Aeronautics and Astronautics the University of Tokyo Research Center for Advanced Science and Technology the University of Tokyo
Since SWIR hyperspectral data provides useful information on minerals and soils, the applications to geology, mining and agriculture are expected. In the SWIR region, hyperspectral sensors use mercury cadmium tellurid... 详细信息
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Explicit versus implicit source estimation for blind multiple input single output system identification
Explicit versus implicit source estimation for blind multipl...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: A. J. Brockmeier J. C. Principe Electr. & Comput. Eng. Univ. of Florida Gainesville FL USA
sparsely-activated time series are found in many physical systems. In these cases, the signals can be approximated by convolution of sparse sources with a set of shift-invariant filters. When there is access to only o... 详细信息
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An Empirical Analysis of Different sparse Penalties for Autoencoder in Unsupervised Feature Learning
An Empirical Analysis of Different Sparse Penalties for Auto...
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International Joint Conference on Neural Networks
作者: Nan Jiang Wenge Rong Baolin Peng Yifan Nie Zhang Xiong School of Computer Science and Engineering Beihang University China
Machine learning algorithms depend heavily on the data representation, which dominates its success in experiment accuracy. Autoencoder model structure is proposed to learn from data a good representation with the leas... 详细信息
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Mixture Noise Removal In Ultrasound Images Using SCoBeP and Low-rank Matrix Completion
Mixture Noise Removal In Ultrasound Images Using SCoBeP and ...
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society
作者: Nafise Barzigar Aminmohammad Roozgard Pramode Verma Samuel Cheng Department of Electrical and Computer Engineering Oklahoma University
Denoising as one of the most significant tools in ultrasound imaging was studied widely in the literature. However, most existing ultrasound image denoising algorithms have assumed the additive white Gaussian noise. I... 详细信息
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AUTOMATIC IMAGE ANNOTATION USING INVERSE MAPS FROM SEMANTIC EMBEDDINGS
AUTOMATIC IMAGE ANNOTATION USING INVERSE MAPS FROM SEMANTIC ...
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IEEE International Conference on Image Processing
作者: J. J. Thiagarajan K. N. Ramamurthy P. Sattigeri P. T. Bremer A. Spanias Lawrence Livermore National Laboratory IBM Thomas J. Watson Research Center SenSIP Center School of ECEE Arizona State University
Human annotation in large scale image databases is time-consuming and error-prone. Since it is very hard to mine image databases using just visual features or textual descriptors, it is common to transform the image f... 详细信息
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Bayesian sparse Representation for Hyperspectral Image Super Resolution
Bayesian Sparse Representation for Hyperspectral Image Super...
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IEEE Conference on Computer Vision and Pattern Recognition
作者: Naveed Akhtar Faisal Shafait Ajmal Mian The University of Western Australia
Despite the proven efficacy of hyperspectral imaging in many computer vision tasks, its widespread use is hindered by its low spatial resolution, resulting from hardware limitations. We propose a hyperspectral image s... 详细信息
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PARTIALLY TAGGED IMAGE CLUSTERING
PARTIALLY TAGGED IMAGE CLUSTERING
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IEEE International Conference on Image Processing
作者: Qiyue Yin Shu Wu Liang Wang Center for Research on Intelligent Perception and Computing (CRIPAC) National Laboratory of Pattern Recognition (NLPR) Institute of Automation Chinese Academy of Sciences
With the growth of tagged images, researchers are using this highly semantic tag information to assist some vision tasks such as image clustering. However, users may not tag some images at all or some of the images ar... 详细信息
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