نتایج جستجو برای: sparse topical coding

تعداد نتایج: 236626  

Journal: :JCP 2014
Lei Li Jiangming Kan Wenbin Li

Simultaneous sparse coding (SSC) has shown great potential in image denoising, because it exploits dependencies of patches in nature images. However, imposing joint sparsity might neglect the sight difference between patches. In this paper, we propose an image denoising algorithm based on robust simultaneous sparse coding (RSSC). In our algorithm, the sparse coefficient matrix is decomposed int...

Journal: :CoRR 2017
Sheng Y. Lundquist Melanie Mitchell Garrett T. Kenyon

Deep Convolutional Neural Networks (DCNN) require millions of labeled training examples for image classification and object detection tasks, which restrict these models to domains where such datasets are available. In this paper, we explore the use of unsupervised sparse coding applied to stereo-video data to help alleviate the need for large amounts of labeled data. We show that replacing a ty...

2009

In this work, we investigate how to automatically reassign the manually annotated labels at the image-level to those contextually derived semantic regions. First, we propose a bi-layer sparse coding formulation for uncovering how an image or semantic region can be robustly reconstructed from the over-segmented image patches of an image set. We then harness it for the automatic label to region a...

2009
Sebastian Klenk Gunther Heidemann

In high dimensional data sets not all dimensions contain an equal amount of information and most of the time global features are more important than local differences. This makes it difficult to select a similarity measures that inherently considers these differences in weighting. We are presenting a sparse coding based similarity measure that is capable of extracting and emphasizing relevant e...

2005
Aristomenis S. Lampropoulos Paraskevi S. Lampropoulou George A. Tsihrintzis

We present a system for musical genre classification based on audio features extracted from signals which correspond to distinct musical instrument sources. For the separation of the musical sources, we propose an innovative technique in which the convolutive sparse coding algorithm is applied to several portions of the audio signal. The system is evaluated and its performance is assessed.

2015
Céline Rabouy Sébastien Paris Hervé Glotin

Typical image classification pipeline for shallow architecture can be summarized by the following three main steps: i) a projection in high dimensional space of local features, ii) sparse constraints for the encoding scheme and iii) a pooling operation to obtain a global representation invariant to common transformation. Sparse Coding (SC) framework is one particular example of this general app...

Journal: :CoRR 2017
Yijing Watkins Mohammad Sayeh Oleksandr Iaroshenko Garrett Kenyon

Bottleneck autoencoders have been actively researched as a solution to image compression tasks. However, we observed that bottleneck autoencoders produce subjectively low quality reconstructed images. In this work, we explore the ability of sparse coding to improve reconstructed image quality for the same degree of compression. We observe that sparse image compression produces visually superior...

2012
András Lörincz Zsolt Palotai Gábor Szirtes

Sensory representations are not only sparse, but often overcomplete: coding units significantly outnumber the input units. For models of neural coding this overcompleteness poses a computational challenge for shaping the signal processing channels as well as for using the large and sparse representations in an efficient way. We argue that higher level overcompleteness becomes computationally tr...

2010
Bo Chen Kevin Swersky Ben Marlin Nando de Freitas

This technical report presents a study of methods for learning sparse codes and localized features from data. In the context of this study, we propose a new prior for generating sparse image codes with low-energy, localized features. The experiments show that with this prior, it is possible to encode the model with significantly fewer bits without affecting accuracy. The report also introduces ...

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