62 Result(s)
within
English
Computer Science
Data Mining and Knowledge Discovery
Image Processing and Computer Vision
**g-** Ge
Chapter
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Chapter and Conference Paper
Analysis of the Kurtosis-Sum Objective Function for ICA
The majority of existing Independent Component Analysis (ICA) algorithms are based on maximizing or minimizing a certain objective function with the help of gradient learning methods. However, it is rather dif...
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Chapter and Conference Paper
CSDD Features: Center-Surround Distribution Distance for Feature Extraction and Matching
We present an interest region operator and feature descriptor called Center-Surround Distribution Distance (CSDD) that is based on comparing feature distributions between a central foreground region and a surr...
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Chapter and Conference Paper
A Novel Neural Network for Solving Singular Nonlinear Convex Optimization Problems
Singular nonlinear convex optimization problems have been received much attention in recent years. Most existing approaches are in the nature of iteration, which is time-consuming and ineffective. Different ap...
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Chapter and Conference Paper
Visual Cortex Inspired Junction Detection
This paper proposes a visual cortex inspired framework to detect and discriminate junction points in a visual scene. Inspired by the biological research in primary visual cortex V1 and secondary visual cortex ...
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Chapter and Conference Paper
Multi-resolution Image Fusion Algorithm Based on Regional Cross Entropy and Regional Priority
Based on image contents, the better to simulate the process pattern of human eyes vision, a fusion algorithm of integration and highlight for the image details is proposed. Through wavelet transform, a regiona...
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Chapter and Conference Paper
Quantitative and Qualitative Coordination for Multi-robot Systems
Coordination takes the role of integrating a set of individual robots into a whole multi-robot system to accompany tasks. During the past two decades, lots of achievements for the coordination of multi-robot s...
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Chapter and Conference Paper
Application of an Improved Fisher Criteria in Feature Extraction of Similar ECG Patterns
The abnormal changes of myocardial infarction (MI) appeared in Electrocardiogram (ECG) are low-level signals. The patterns to represent MI ECGs are usually extremely similar between different classes. In addit...
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Chapter and Conference Paper
A Reconfigurable Modular Robot for Detection and Rescue
In this paper, a reconfigurable modular robot for detection and rescue in small spaces is presented based on the idea of modular design. The robot is combined by two different types of module, including the co...
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Chapter and Conference Paper
An Improved Generalized Fuzzy C-Means Clustering Algorithm Based on GA
A new generalized clustering algorithm with the name of genetic algorithm based rough-fuzzy possibilistic c-means (GARFPCM) is proposed. It derives from an unsupervised learning algorithm called RFPCM, which is u...
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Chapter and Conference Paper
WebVRGIS: A P2P Network Engine for VR Data and GIS Analysis
A Peer-to-peer(P2P) network engine for geographic VR data and GIS analysis on 3D Globe is proposed, which synthesizes several latest information technologies including web virtual reality(VR), 3D geographical ...
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Chapter and Conference Paper
Computational Image Modeling for Characterization and Analysis of Intracellular Cargo Transport
Active intracellular cargo transport is essential to survival and function of eukaryotic cells. How this process is controlled spatially and temporally so that the right cargo is delivered to the right destina...
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Chapter and Conference Paper
An Orientation Column-Inspired Contour Representation and Its Application in Shape-Based Recognition
Recognizing an object from its background in a real-world image is always a very challenging task. During the recognition process, shape (or contour) information of an object is useful. In this paper, we build...
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Chapter and Conference Paper
Learning Automata Based Cooperative Student-Team in Tutorial-Like System
A novel learning automata (LA) based cooperative student-team in tutorial-like system is presented in this paper. The students in our system are modeled using LA. The new philosophy of a student is that he acq...
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Chapter and Conference Paper
Noise Face Image Hallucination via Data-Driven Local Eigentransformation
Face hallucination refers to inferring an High-Resolution (HR) face image from the input Low-Resolution (LR) one. It plays a vital role in LR face recognition by both manual and computer. The eigentransformati...
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Chapter and Conference Paper
Modeling and Application of Principal Component Analysis in Industrial Boiler
An identification model based on principal component analysis which can reflect thermal efficiency is proposed, in order to improve the operation efficiency of boiler. It can monitor the thermal efficiency onl...
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Chapter and Conference Paper
Hierarchical Multi-modal Image Registration by Learning Common Feature Representations
Mutual information (MI) has been widely used for registering images with different modalities. Since most inter-modality registration methods simply estimate deformations in a local scale, but optimizing MI fr...
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Chapter and Conference Paper
iHDFS: A Distributed File System Supporting Incremental Computing
Big data are always processed repeatedly with small changes, which is a major form of big data processing. The feature of incremental change of big data shows that incremental computing mode can improve the pe...
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Chapter and Conference Paper
Multiview Correlation Feature Learning with Multiple Kernels
Recent researches have shown the necessity to consider multiple kernels rather than a single fixed kernel in real-world applications. The learning performance can be significantly improved if multiple kernel f...
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Chapter and Conference Paper
Interactive RGB-D Image Segmentation Using Hierarchical Graph Cut and Geodesic Distance
In this paper, we propose a novel interactive image segmentation method for RGB-D images using hierarchical Graph Cut. Considering the characteristics of RGB channels and depth channel in RGB-D image, we utili...
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Chapter and Conference Paper
Nonparametric Discriminant Analysis Based on the Trace Ratio Criterion
Feature extraction is a hot topic in machine learning and pattern recognition. This paper proposes a new nonparametric linear feature extraction method called nonparametric discriminant analysis based on the t...
