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Chapter and Conference Paper
Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks
Deep learning has contributed greatly to functional magnetic resonance imaging (fMRI) analysis, however, spatial maps derived from fMRI data by independent component analysis (ICA), as promising biomarkers, ha...
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Chapter and Conference Paper
A Deep Learning Approach to Detecting Changes in Buildings from Aerial Images
Detecting building changes via aerial images acquired at different times is important in the urban planning and geographic information updating. Deep learning solutions have high potential in improving detecti...
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Chapter and Conference Paper
Canonical Polyadic Decomposition with Constant Modulus Constraint: Application to Polarization Sensitive Array Processing
We consider the joint estimation of direction-of-arrival (DOA) and polarization of constant modulus (CM) signals based on a polarization sensitive array. We propose an algebraic algorithm for canonical polyadi...
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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
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
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 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
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 ...