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Dictionary Learning

32 papers with code · Methodology

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Deep TEN: Texture Encoding Network

CVPR 2017 zhanghang1989/PyTorch-Encoding

The representation is orderless and therefore is particularly useful for material and texture recognition.

DICTIONARY LEARNING MATERIAL RECOGNITION

Stochastic Subsampling for Factorizing Huge Matrices

19 Jan 2017arthurmensch/modl

We present a matrix-factorization algorithm that scales to input matrices with both huge number of rows and columns.

DICTIONARY LEARNING

Dictionary Learning for Massive Matrix Factorization

3 May 2016arthurmensch/modl

Sparse matrix factorization is a popular tool to obtain interpretable data decompositions, which are also effective to perform data completion or denoising.

COLLABORATIVE FILTERING DICTIONARY LEARNING MATRIX COMPLETION

A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

8 Apr 2017js3611/Deep-MRI-Reconstruction

Firstly, we show that when each 2D image frame is reconstructed independently, the proposed method outperforms state-of-the-art 2D compressed sensing approaches such as dictionary learning-based MR image reconstruction, in terms of reconstruction error and reconstruction speed.

DICTIONARY LEARNING IMAGE RECONSTRUCTION

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

15 Aug 2016jaron/deep-listening

We show that the improved performance stems from the combination of a deep, high-capacity model and an augmented training set: this combination outperforms both the proposed CNN without augmentation and a "shallow" dictionary learning model with augmentation.

DATA AUGMENTATION DICTIONARY LEARNING ENVIRONMENTAL SOUND CLASSIFICATION

Fast Low-rank Shared Dictionary Learning for Image Classification

27 Oct 2016tiepvupsu/DICTOL

Our dictionary learning framework is hence characterized by both a shared dictionary and particular (class-specific) dictionaries.

DICTIONARY LEARNING IMAGE CLASSIFICATION

Learning a low-rank shared dictionary for object classification

31 Jan 2016tiepvupsu/DICTOL

Despite the fact that different objects possess distinct class-specific features, they also usually share common patterns.

DICTIONARY LEARNING OBJECT CLASSIFICATION

Histopathological Image Classification using Discriminative Feature-oriented Dictionary Learning

16 Jun 2015tiepvupsu/DICTOL

In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structures.

DICTIONARY LEARNING HISTOPATHOLOGICAL IMAGE CLASSIFICATION IMAGE CLASSIFICATION

Multimodal Task-Driven Dictionary Learning for Image Classification

4 Feb 2015soheilb/multimodal_dictionary_learning

Dictionary learning algorithms have been successfully used for both reconstructive and discriminative tasks, where an input signal is represented with a sparse linear combination of dictionary atoms.

DICTIONARY LEARNING FACE RECOGNITION IMAGE CLASSIFICATION ZERO-SHOT ACTION RECOGNITION