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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

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

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

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