AIMC Topic: Data Compression

Clear Filters Showing 71 to 80 of 147 articles

Decision tree accelerated CTU partition algorithm for intra prediction in versatile video coding.

PloS one Nov 8, 2021
Versatile video coding (VVC) achieves enormous improvement over the advanced high efficiency video coding (HEVC) standard due to the adoption of the quadtree with nested multi-type tree (QTMT) partition structure and other coding tools. However, the ...
Machine Learning Software Algorithms Support Vector Machine Decision Trees Video Recording Data Compression Statistical Distributions Communications Media
View on PubMed DOI

BP Neural Network Based on Simulated Annealing Algorithm Optimization for Financial Crisis Dynamic Early Warning Model.

Computational intelligence and neuroscience Oct 7, 2021
Financial early warning mechanism is of great significance to the long-term healthy development and stable operation of listed enterprises. This paper adopts the logistic regression early warning model and BP neural network early warning model. Based...
Neural Networks, Computer Algorithms Logistic Models Data Compression
View on PubMed DOI

Weak sub-network pruning for strong and efficient neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 30, 2021
Pruning methods to compress and accelerate deep convolutional neural networks (CNNs) have recently attracted growing attention, with the view of deploying pruned networks on resource-constrained hardware devices. However, most existing methods focus ...
Neural Networks, Computer Software Computers Data Compression
View on PubMed DOI

Nonlinear tensor train format for deep neural network compression.

Neural networks : the official journal of the International Neural Network Society Sep 8, 2021
Deep neural network (DNN) compression has become a hot topic in the research of deep learning since the scale of modern DNNs turns into too huge to implement on practical resource constrained platforms such as embedded devices. Among variant compress...
Neural Networks, Computer Algorithms Data Compression Physical Phenomena
View on PubMed DOI

No Fine-Tuning, No Cry: Robust SVD for Compressing Deep Networks.

Sensors (Basel, Switzerland) Aug 19, 2021
A common technique for compressing a neural network is to compute the -rank ℓ2 approximation Ak of the matrix A∈Rn×d via SVD that corresponds to a fully connected layer (or embedding layer). Here, is the number of input neurons in the layer, is the...
Neural Networks, Computer Algorithms Neurons Data Compression
View on PubMed DOI

MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation.

Medical image analysis Aug 2, 2021
Implementing deep convolutional neural networks (CNNs) with boolean arithmetic is ideal for eliminating the notoriously high computational expense of deep learning models. However, although lossless model compression via weight-only quantization has ...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Data Compression
View on PubMed DOI

BBNet: A Novel Convolutional Neural Network Structure in Edge-Cloud Collaborative Inference.

Sensors (Basel, Switzerland) Jun 30, 2021
Edge-cloud collaborative inference can significantly reduce the delay of a deep neural network (DNN) by dividing the network between mobile edge and cloud. However, the in-layer data size of DNN is usually larger than the original data, so the commun...
Neural Networks, Computer Data Compression
View on PubMed DOI

Quality Enhancement of Compressed Vibrotactile Signals Using Recurrent Neural Networks and Residual Learning.

IEEE transactions on haptics Jun 17, 2021
We present a neural network-based compression artifact removal technique for vibrotactile signals. The proposed decoder-side quality enhancement approach is based on recurrent neural networks (RNNs) and the principle of residual learning. We use a to...
Humans Neural Networks, Computer Data Compression
View on PubMed DOI

Periodicity and multi-periodicity generated by impulses control in delayed Cohen-Grossberg-type neural networks with discontinuous activations.

Neural networks : the official journal of the International Neural Network Society Jun 15, 2021
This paper discusses the periodicity and multi-periodicity in delayed Cohen-Grossberg-type neural networks (CGNNs) possessing impulsive effects, whose activation functions possess discontinuities and are allowed to be unbounded or nonmonotonic. Based...
Neural Networks, Computer Algorithms Time Factors Neurons Data Compression Periodicity
View on PubMed DOI

Classification of Cattle Behaviours Using Neck-Mounted Accelerometer-Equipped Collars and Convolutional Neural Networks.

Sensors (Basel, Switzerland) Jun 12, 2021
Monitoring cattle behaviour is core to the early detection of health and welfare issues and to optimise the fertility of large herds. Accelerometer-based sensor systems that provide activity profiles are now used extensively on commercial farms and h...
Neural Networks, Computer Animals Cattle Eating United Kingdom Accelerometry Data Compression
View on PubMed DOI
Popular Topics
Recent Journals