Showing 97–108 of 3870 results
A Dynamic Image Matching Model and Architecture for Smart Devices. The aim of this research is on developing a dynamic image matching model (DIMM) for smart devices. People with no knowledge on searching keywords can see the information and make good use of it in their daily life. Although existing search engines (Google, Yahoo etc.)…
A Dynamical and Load-Balanced Flow Scheduling Approach for Big Data Centers in Clouds Abstract? Load-balanced flow scheduling for big data centers in clouds, in which a large amount of data needs to be transferred frequently among thousands of interconnected servers, is a key and challenging issue. The OpenFlow is a promising solution to balance data…
A family Particle Swarm Optimization based on the family tree Abstract?A family Particle Swarm Optimization based on the family tree. The concept of the family was previously introduced into Particle Swarm Optimization (PSO). To further study the multi-group structure of the Family PSO (FPSO), this paper introduces the family tree into the FPSO. It made…
A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method Abstract? A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method. Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database…
A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data Abstract? A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data.Feature selection involvesidentifying a subset of the most useful features that produces compatible results as the original entire set of features. A feature selection algorithm may be evaluated from both the efficiency and effectiveness points…
A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data Abstract? A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data. Feature selection involves identifying a subset of the most useful features that produces compatible results as the original entire set of features. A feature selection algorithm may be evaluated from both the efficiency and…
A fault-tolerant scheduling system for computational grids Abstract? Fault-tolerant scheduling is an important issue for computational grid systems, as grids typically consist of strongly varying and geographically distributed resources. The main scheduling strategy of most fault-tolerant scheduling systems depends on the response time and fault index when selecting a resource to execute a certain job.<...
A Feature Learning and Object Recognition Framework for Underwater Fish Images Abstract? Live fish recognition is one of the most crucial elements of fisheries survey applications where the vast amount of data is rapidly acquired. Different from general scenarios, challenges to underwater image recognition are posted by poor image quality, uncontrolled objects and environment, and…
A Feature Learning and Object Recognition Framework for Underwater Fish Images Abstract-Live fish recognition is one of the most crucial elements of fisheries survey applications where vast amount of data are rapidly acquired. Different from general scenarios, challenges to underwater image recognition are posted by poor image quality, uncontrolled objects and environment, as well as…
A Feature Selection and Classification Algorithm Based on Randomized Extraction of Model Populations Abstract-We here introduce a novel classification approach adopted from the nonlinear model identification framework, which jointly addresses the feature selection (FS) and classifier design tasks. The classifier is constructed as a polynomial expansion of the original features and a selection process is…
A Feature-Reduction Fuzzy Clustering Algorithm Based on Feature-Weighted Entropy Abstract– Abstract?Fuzzy clustering algorithms generally treat data points with feature components under equal importance. However, there are various datasets with irrelevant features involved in clus tering process that may cause bad performance for fuzzy cluster- ing algorithms. That is, different feature components should take different importance….
A First Public Research Collection of High Resolution Latent Fingerprint Time Series for Short- and Long-Term Print Age Estimation Abstract– The creation of publicly available image databases for the signal processing community is a very time-consuming, yet immensely valuable task, enabling scientific progress by providing the opportunity of an objective comparison and reproduction of results….
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