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Using Knowledge Graph and KD-Tree Random Forest for Image Retrieval
Semantic-based image retrieval has recently become popular and contains many challenges. This work proposes a framework for semantic-based image...
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Solving Fokker–Planck equations using deep KD-tree with a small amount of data
The Fokker–Planck (FP) equation can deterministically describe the evolution of the probability density function, which plays an extremely...
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An Improvement Method of Kd-Tree Using k-Means and k-NN for Semantic-Based Image Retrieval System
In this paper, an improved method of KD-Tree using k-Means and k-NN is proposed and applied to a semantic-based image retrieval system. Firstly, the...
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Pruned Kd-tree: a memory-efficient algorithm for multi-field packet classification
Packet classification is a basic process in most network-based packet processing systems. The key operation in this process is to match the packet...
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Robust automatic modulation classification under noise mismatch
Automatic modulation classification plays a critical role in the intelligent reception of unknown wireless signals. In practice, the dynamic wireless...
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Comparison of Two-Dimensional Fields Generated by Numerical Simulation and Digital Image Correlation
AbstractA method is proposed for superimposing the two-dimensional data fields derived by the finite-element method and by digital image correlation....
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A robust method based on locality sensitive hashing for K-nearest neighbors searching
K-nearest neighbors searching (KNNS) is to find K -nearest neighbors for query points. It is a primary problem in clustering analysis, classification,...
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A novel voice conversion approach using cascaded powerful cepstrum predictors with excitation and phase extracted from the target training space encoded as a KD-tree
Voice conversion is an important problem in audio signal processing. The goal of voice conversion is to transform the speech signal of a source...
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Efficient LiDAR/inertial-based localization with prior map for autonomous robots
A rapid and accurate localization scheme is significant for the application of autonomous robots in a prior map. However, this task remains...
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Identification of Active and Binding Sites with Multi-dimensional Feature Vectors and K-Nearest Neighbor Classification Algorithm
Helicobacter pylori is a pathogenic and carcinogenic bacterium, mainly living in the stomach and duodenum, and has been declared a prokaryotic...
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Design of 3D Point Cloud Real-Time Cloud Matching Algorithm Based on Multi-scale Feature Extraction
On this basis, multi-scale feature extraction method is adopted to realize real-time cloud matching of 3D point clouds. In this project, multi-scale...
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Comparison of BVH and KD-Tree for the GPGPU Acceleration on Real Mobile Devices
Portability and thermal issues significantly limit the performance of mobile devices, hindering the use of the global illumination that enables...
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Bot-FFX: A Robust and Efficient Framework for Fast Flux Botnet (FFB) Detection
Fast Flux Botnet (FFB) poses a significant threat as an advanced method employed by cybercriminals for orchestrating distributed malicious attacks....
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Point Cloud Registration of Road Scene Based on SAC-IA and ICP Methods
Registration of point cloud data obtained by vehicle-mounted LiDAR is necessary process to establish high-precision road scene 3D model...
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A Geometric Perspective on Feature-Based Distillation
Feature-based Knowledge Distillation (FKD) is a method for guiding the activations at the intermediate layers of a Convolutional Neural...
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Nearest Neighbors via a Hybrid Approach in Large Datasets: A Speed up
A Spatial data structure such as kd-tree is aNarasimhulu, Y. provenPasunuri, Raghunadh data structure in searching Nearest Neighbors of a query...
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Crafting the MPEG metrics for objective and perceptual quality assessment of volumetric videos
Efficient objective and perceptual metrics are valuable tools to evaluate the visual impact of compression artifacts on the visual quality of...
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An Obstacles Detection Method for Sparse PointCloud Based on Hybrid Model and Multi-dimensional Segmentation
In This paper, we present a method for obstacles detection in sparse point cloud from Lidar. For point cloud collected by rotative mechanical lidar,...
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Fingerprinting Positioning in Distributed Massive MIMO Systems Using Affinity Propagation Clustering and Gaussian Process Regression
Massive multiple-input multiple-output (M-MIMO) systems improve positioning accuracy besides enhancing communication performance. Fingerprinting (FP)...
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Exploration of Cognition Impact: An Experiment with Cover Song Retrieval Through Indexing
Large-scale cover song retrieval systems frameworks can figure tune-to-tune likeness and suit contrasts in timing, key, and beat. Straightforward...