Search
Search Results
-
APSSF: Adaptive CNN Pruning Based on Structural Similarity of Filters
Convolutional neural network (CNN) pruning is a technique used to remove redundant parameters from the network. By doing so, it aims to greatly...
-
JSON Document Clustering Based on Structural Similarity and Semantic Fusion
The emerging drift toward real-time applications generates massive amounts of JSON data exponentially over the web. Dealing with the heterogeneous...
-
Investigation of rock mass structural similarity in two islands in Vietnam
AbstractIn a rock mass, the joint geometry pattern may change from one area to another. Rock masses having similar joint geometry patterns are known...
-
An Approach to Learn Structural Similarity Between Decision Trees Using Hungarian Algorithm
The prevailing data mining techniques emphasize on discovering patterns and extract useful information from facts already recorded in various...
-
USSL Net: Focusing on Structural Similarity with Light U-Structure for Stroke Lesion Segmentation
Automatic segmentation of ischemic stroke lesions from computed tomography (CT) images is of great significance for identifying and curing this...
-
A Test of the Structural Alignment Model for Similarity Judgements of Design Concepts
This paper presents a test of the Structural Alignment (SA) model of psychological similarity judgements on a sample of design students and recent...
-
Calculating Structure Similarity via a Graph Neural Network in Population-Based Structural Health Monitoring: Part II
Population-based Structural Health Monitoring (PBSHM) aims to gain additional insights on the health of a structure when using data available across...
-
An incremental algorithm for concept lattice based on structural similarity index
As an effective tool for data analysis, formal concept analysis (FCA) is widely used in software engineering and machine learning. The construction...
-
Key Frame Extraction from Videos Based on SIFT and Structural Similarity
With the advancement of high-resolution cameras, a large number of videos are captured using mobile devices. Extracting meaningful information from...
-
Structural damage identification using the similarity measure of the cloud model and response surface-based model updating considering the uncertainty
This paper proposes a novel structural damage identification method by using the similarity measurement of the cloud model based on response surface...
-
On the Use of Graph Kernels for Assessing Similarity of Structures in Population-Based Structural Health Monitoring
Population-based structural health monitoring (PBSHM), expands the implementation of structural health monitoring concepts from a single structure to...
-
DeepDual-SD: Deep Dual Attribute-Aware Embedding for Binary Code Similarity Detection
Binary code similarity detection (BCSD) is a task of detecting similarity of binary functions which are not available to the corresponding source...
-
Statistical Network Similarity
Graph isomorphism is a problem for which there is no known polynomial-time solution. The more general problem of computing graph similarity metrics,...
-
GPU-based similarity metrics computation and machine learning approaches for string similarity evaluation in large datasets
The digital era brings up on one hand massive amounts of available data and on the other hand the need of parallel computing architectures for...
-
Superpixel-based Structural Similarity Metric for Image Fusion Quality Evaluation
Image fusion refers to integrate multiple images of the same scene into a high-quality fused image. Universal quality evaluation for fused image is...
-
Reliability Evaluation and Prediction of Deep Buried Tunnel Based on Similarity Theory and Model Test
Deep buried tunnel has a complex stress environment and large stress level. At present, it is difficult to dynamic monitoring for such tunnels. In...
-
SignedS2V: Structural Embedding Method for Signed Networks
A signed network is widely observed and constructed from the real world and is superior for containing rich information about the signs of edges....
-
Unsupervised deep hashing with multiple similarity preservation for cross-modal image-text retrieval
Deep hashing cross-modal image-text retrieval has the advantage of low storage cost and high retrieval efficiency by map** different modal data...
-
Syntactic-Semantic Similarity Based on Dependency Tree Kernel
The representation of words in the vector space generated using the Word2Vec model does not capture the syntactic similarity between sentences, but...
-
Similar Model for Accurate Structural Vibration Analysis of Elevated Track-Box Girder Coupling System
Model similarity experiment is an effective method to predict the vibration response of track-box girder structure under complex working conditions....