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Chapter and Conference Paper
Formal Representation and Semantics of Modern Chinese Interrogative Sentences
In modern Chinese, interrogative sentences are transformed from indicative sentences. At first, this paper gives the classification of modern Chinese interrogative sentences and their transformation from indic...
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Chapter and Conference Paper
Analyzing V+Adj in Situation Semantics
Sentences with V+Adj format (VA-statements) have the same syntax structure, whereas their semantic structures are always different owing to the semantic pointer of the adjective of V+Adj. In this paper we sepa...
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Chapter and Conference Paper
Speech Segregation Using Constrained ICA
In natural environment, speech often occurs concurrently with acoustic interference. How to effectively extract speech remains a great challenge. This paper describes a novel constrained Independent Component ...
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Chapter and Conference Paper
A Fast Decryption Algorithm for BSS-Based Image Encryption
The image encryption based on blind source separation (BSS) takes advantage of the underdetermined BSS problem to encrypt multiple confidential images. Its security can be further improved if the number of ima...
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Chapter and Conference Paper
A Semi-blind Complex ICA Algorithm for Extracting a Desired Signal Based on Kurtosis Maximization
Semi-blind independent component analysis (ICA) incorporates some prior information into standard blind ICA, and thus solves some problems of blind ICA as well as provides improved performance. However, semi-b...
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Chapter and Conference Paper
Constrained Complex-Valued ICA without Permutation Ambiguity Based on Negentropy Maximization
Complex independent component analysis (ICA) has found utility in separation of complex-valued signals such as communications, functional magnetic resonance imaging, and frequency-domain speeches. However, per...
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Chapter and Conference Paper
PIMP-Filters of R 0-Algebras
The notion of positive implication MP-filters (briefly, PIMP- filters) in R 0-algebras is introduced. The characteristic properties and extension property of PIMP-filters are obtained. Finally, th...
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Chapter and Conference Paper
Speech Separation via Parallel Factor Analysis of Cross-Frequency Covariance Tensor
This paper considers separation of convolutive speech mixtures in frequency-domain within a tensorial framework. By assuming that components associated with neighboring frequency bins of the same source are st...
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Chapter and Conference Paper
A Novel F-Pad for Handwriting Force Information Acquisition
This paper presents a novel pad for handwriting force information acquisition. The pad named F-Pad (force-pad) is capable of capturing both the dynamic handwriting information and the static trajectory of the ...
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Chapter and Conference Paper
A Study of Application of Computer Assisted Instruction (CAI) in Wushu Teaching
CAI (Computer Assisted Instruction) is core content of education projects assisted by computer and the main technical form of modern information technology applied in education. As a new kind of modern teachin...
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Chapter and Conference Paper
Complex Non-Orthogonal Joint Diagonalization Based on LU and LQ Decompositions
In this paper, we propose a class of complex non-orthogonal joint diagonalization (NOJD) algorithms with successive rotations. The proposed methods consider LU or LQ decompositions of the mixing matrices, and ...
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Chapter and Conference Paper
Application and Comparison of Discovery Model and Others in Petroleum Resource Assessment
The lognormal discovery process model (LDP) has been applied in China’s third national resource assessment to assess petroleum resource potential in maturely explored basins containing a total of 123 mature pe...
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Chapter and Conference Paper
Clustering of MRI Radiomics Features for Glioblastoma Multiforme: An Initial Study
This paper proposed a radiomics model from magnetic resonance imaging (MRI) for Glioblastoma Multiforme (GBM) patients. One challenge of radiomics study is to reduce the redundancy of the features. Totally 466...
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Chapter and Conference Paper
Comparison of Functional Network Connectivity and Granger Causality for Resting State fMRI Data
Functional network connectivity (FNC) and Granger causality have been widely used to identify functional and effective connectivity for resting functional magnetic resonance imaging (fMRI) data. However, the r...
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Chapter and Conference Paper
Rapid Triangle Matching Based on Binary Descriptors
Geometric constraints have been widely applied to image matching to gain additional advantages over feature points. A rapid triangle matching (RTM) algorithm was such an algorithm for matching triangles formed...
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Chapter and Conference Paper
CFD-DEM Simulation of Flocculation and Sedimentation of Cohesive Fine Particles
A numerical model coupling the discrete element method (DEM) and the computational fluid dynamics (CFD) was presented and applied to simulate particle flocculation and sedimentation processes. The volume-avera...
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Chapter and Conference Paper
Comparison of Two Swarm Intelligence Algorithms: From the Viewpoint of Learning
It is always said that learning is at the core of intelligence. How does learning work in swarm intelligence algorithms (SIAs)? This paper tries to answer this question by analyzing the learning mechanisms in ...
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Chapter and Conference Paper
Fusion of Laser Point Clouds and Color Images with Post-calibration
Fusion of laser point clouds and color images has a great advantage in the photogrammetry, computer vision, and computer graphics communities. Most of existing methods estimate the projection matrix for mappin...
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Chapter and Conference Paper
Image Edge Detection for Stitching Aerial Images with Geometrical Rectification
Changes of the flight attitude of unmanned aircraft cause nonlinear distortion in the aerial images. Stitching these images without geometric rectification may cause the problem of mismatching. However, the ge...
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Chapter and Conference Paper
Emotion Recognition Based on Gramian Encoding Visualization
This paper addresses the problem that emotional computing is difficult to be put into real practical fields intuitively, such as medical disease diagnosis and so on, due to poor direct understanding of physiol...