220 Result(s)
within
English
Artificial Intelligence
Computation by Abstract Devices
**-**a Ding
Chapter
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Chapter and Conference Paper
Similarity Matrix Construction Methods in Sparse Subspace Clustering Algorithm for Hyperspectral Imagery Clustering
The clustering of hyperspectral images is a challenging task because of the high dimensionality of the data. The sparse subspace clustering (SSC) algorithm is one of the popular used clustering algorithm for h...
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Chapter and Conference Paper
CNN-Based Sequence Labeling for Fine-Grained Opinion Mining of Microblogs
Opinion mining on microblogs is of significance because microblogging websites have attracted many users to share their experiences and express their opinions on a variety of topics. However, conventional opin...
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Chapter and Conference Paper
Clustering by Searching Density Peaks via Local Standard Deviation
To solve the problem of DPC (Clustering by fast search and find of Density Peaks) that it cannot find the cluster centers coming from sparse clusters, a new clustering algorithms is proposed in this paper. The...
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Chapter and Conference Paper
Object Detection with Proposals in High-Resolution Optical Remote Sensing Images
Detecting object in remote sensing images remains a challenge due to multi-scale objects, complex ground environment and large image size despite of the fast development of machine learning and computer vision...
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Chapter and Conference Paper
Univariate Gaussian Model for Multimodal Inseparable Problems
It has been widely perceived that a univariate Gaussian model for evolutionary search can be used to solve separable problems only. This paper explores whether and how the univariate Gaussian model may also be...
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Chapter and Conference Paper
Study on Prior-Altitude-Locating-Algorithm for Video Target Based on UAV
Aim at the requirement of the fast locating and positioning of the video multi target for the high speed military unmanned aerial vehicle (UAV), Using the video surveillance, UAV telemetry data and the priori...
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Chapter and Conference Paper
Study on Tracking and Detecting Weak Multi-target Based on KF-GMPHDA in Multi-radar Networking
Gaussian mixture probability hypothesis density algorithm (GMPHDA), which is suitable for tracking weak signal to noise ratio (WSNR) multi-target, has rigorous theoretical foundation. The states and number of ...
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Chapter and Conference Paper
Tracking Number Time-Varying Nonlinear Targets Based on SQUF-GMPHDA in Radar Networking
For the problem that detecting and tracking targets in false alarm and clutter area (RNWT) is under constraints that motion model and measurement model are both nonlinear, firstly square root unscented filter ...
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Chapter and Conference Paper
Study on Important Parameters of Tracking and Detecting RNWT Based on GMPHDA in Radar Networking
Gaussian mixture probability hypothesis density filter (PHDF), which is suitable for tracking RNWT (Targets in false alarm and clutter area such as stealth aircraft and UAV), has rigorous mathematical foundat...
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Chapter and Conference Paper
Leaf Clustering Based on Sparse Subspace Clustering
Leaf recognition is one of the important techniques for species automatic identification. Because of not needing prior knowledge, clustering based method is a good choice to accomplish this task. Moreover, the...
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Chapter and Conference Paper
Neural Dynamic Programming for Event-Based Nonlinear Adaptive Robust Stabilization
In this paper, we develop an event-based adaptive robust stabilization method for continuous-time nonlinear systems with uncertain terms via a self-learning technique called neural dynamic programming. Through...
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Chapter and Conference Paper
A Novel Manifold Regularized Online Semi-supervised Learning Algorithm
In this paper, we propose a novel manifold regularized online semi-supervised learning (OS \(^2\) L) model in...
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Chapter and Conference Paper
Decentralized Stabilization for Nonlinear Systems with Unknown Mismatched Interconnections
This paper establishes a neural network and policy iteration based decentralized control scheme to stabilize large-scale nonlinear systems with unknown mismatched interconnections. For relaxing the common assu...
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Chapter and Conference Paper
Android Malware Detection Method Based on Function Call Graphs
With the rapid development of mobile Internet, mobile devices have been widely used in people’s daily life, which has made mobile platforms a prime target for malware attack. In this paper we study on Android ...
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Chapter and Conference Paper
Data-Driven Design of Type-2 Fuzzy Logic System by Merging Type-1 Fuzzy Logic Systems
Type-2 fuzzy logic systems (T2 FLSs) have shown their superiorities in many real-world applications. With the exponential growth of data, it is a time consuming task to directly design a satisfactory T2 FLS th...
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Chapter and Conference Paper
A Note on the k-NN Density Estimate
k-NN (k Nearest Neighbour) density estimate as a nonparametric estimation method is widely used in machine learning or data analysis. The convergence problem of k-NN approach has been intensively investi...
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Chapter and Conference Paper
Study on Tracking Strong Maneuvering Targets Based on IMM-GMPHDA
Gaussian mixture probability hypothesis density filter algorithm (GMPHDA), which is effective method for tracking unknown number of multi-target in strong clutter environment, has solid theoretical basis. But...
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Chapter and Conference Paper
Fast and Effective Multi-objective Optimisation of Submerged Wave Energy Converters
Despite its considerable potential, wave energy has not yet reached full commercial development. Currently, dozens of wave energy projects are exploring a variety of techniques to produce wave energy efficient...
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Chapter and Conference Paper
Confirmatory Analysis on Influencing Factors When Mention Users in Twitter
Nowadays, Twitter has become an important platform to expand the diffusion of information or advertisement. Mention is a new feature on Twitter. By mentioning users in a tweet, they will receive notifications ...
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Chapter and Conference Paper
Research on Domain Adaptation for SMT Based on Specific Domain Knowledge
In statistical machine translation, training data usually have the characteristics of diverse sources, multiple themes, different genre, and are often not in accordance with the domain of target text to be tra...
