• DLMRI-Lab

  • Referenced in 19 articles [sw16409]
  • DLMRI-Lab: Dictionary Learning MRI Software. DLMRI is a formulation and an algorithm that adaptively ... learn a dictionary from undersampled k-space measurements and simultaneously reconstruct the MR image (this ... highly undersampled k-space data by dictionary learning,” IEEE Trans. Med. Imag...
  • iHOG

  • Referenced in 6 articles [sw35107]
  • features. It implements the Paired Dictionary Learning algorithm described in our paper ”HOGgles: Visualizing Object...
  • AdaFrame

  • Referenced in 3 articles [sw25550]
  • framework, called AdaFrame, improves over dictionary learning-based techniques in terms of computational efficiency ... provides an attractive alternative to dictionary learning-based techniques for low level signal processing tasks...
  • SPORCO

  • Referenced in 3 articles [sw26283]
  • provides functions for sparse coding and dictionary learning, together with miscellaneous support functions for signal...
  • WordSpy

  • Referenced in 5 articles [sw19955]
  • factor binding motifs by building a dictionary and learning a grammar. Transcription factor (TF) binding ... problem. We propose and develop a novel dictionary based motif finding algorithm, which we call...
  • dle

  • Referenced in 1 article [sw32501]
  • Dictionary learning tools for Matlab. Dictionary Learning is a topic in the Signal Processing area ... entries in w are zero. Dictionary Learning is the problem of finding a dictionary such ... page describes some experiments done on Dictionary Learning. The complete theory of dictionary learning...
  • ProSper

  • Referenced in 1 article [sw30605]
  • python library containing probabilistic algorithms to learn dictionaries. Given a set of data points ... library widens the scope of dictionary learning approaches beyond implementations of standard approaches such ... hundreds of CPUs to learn hundreds of dictionary elements from data with tens of millions ... targets users of dictionary learning algorithms and Machine Learning researchers...
  • scalpel

  • Referenced in 2 articles [sw19378]
  • calcium imaging video. We propose a dictionary learning approach for this task. First, we perform...
  • SPAMS

  • Referenced in 1 article [sw32070]
  • solving various sparse estimation problems: Dictionary learning and matrix factorization (NMF, sparse PCA, ...); Solving sparse...
  • TensorBox

  • Referenced in 1 article [sw35869]
  • harmonic retrieval, image denoising, image completion, dictionary learning...
  • csg

  • Referenced in 1 article [sw36363]
  • particular for computed tomography with the dictionary learning method. A comparison with other state...
  • quanteda

  • Referenced in 6 articles [sw30853]
  • distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text...
  • LeZi-update

  • Referenced in 18 articles [sw01541]
  • mobility models. By building and maintaining a dictionary of individual user’s path updates ... proposed adaptive on-line algorithm can learn subscribers’ profiles. This technique evolves...
  • LCNN

  • Referenced in 1 article [sw39591]
  • convolutional neural networks that enables efficient learning and inference. We introduce LCNN, a lookup-based ... encodes convolutions by few lookups to a dictionary that is trained to cover the space ... CNNs. Training LCNN involves jointly learning a dictionary and a small set of linear combinations ... size of the dictionary naturally traces a spectrum of trade-offs between efficiency and accuracy...
  • VIDOSAT

  • Referenced in 0 articles [sw27580]
  • reconstruction. Recently, we proposed methods for online learning of sparsifying transforms from streaming signals, which ... lower computational costs than online synthesis dictionary learning. In this work, we apply online transform ... denoising based on high-dimensional sparsifying transform learning for spatio-temporal patches. The patches ... well as prior schemes such as dictionary learning-based schemes, and the state...
  • WITS

  • Referenced in 0 articles [sw24728]
  • consist of a novel shared-structure dictionary learning approach combined with rule-based reasoning...
  • SignSynth

  • Referenced in 1 article [sw21221]
  • languages, but other applications include dictionaries and language learning. I will discuss the architecture...
  • AdaRaker

  • Referenced in 1 article [sw28403]
  • latter is not available, multi-kernel learning has gained popularity thanks to its flexibility ... choosing kernels from a prescribed kernel dictionary. Leveraging the random feature approximation and its recent ... present contribution develops a scalable multi-kernel learning scheme (termed Raker) to obtain the sought...
  • CRF

  • Referenced in 1 article [sw27166]
  • dictionary of words in the training data. The best way to learn...
  • SELC

  • Referenced in 1 article [sw39063]
  • initially classified based on a sentiment dictionary. Then more reviews are classified through an iterative ... second phase, a supervised classifier is learned by taking some reviews classified in the first...