14 Result(s)
within
Chapter
Dao-Qing Dai
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Chapter and Conference Paper
MetaCon: Meta Contrastive Learning for Microsatellite Instability Detection
Colorectal cancer (CRC) patients who are detected as microsatellite instability (MSI) can receive precise targeted therapies, but existing MSI detection methods are not available to all patients due to various...
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Chapter
A Circle Pattern Algorithm via Combinatorial Ricci Flows
A circle pattern is a configuration of circles with a prescribed combinatoric and prescribed intersection angles. Based on the idea of combinatorial Ricci flows, we present an iterative process which converges...
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Chapter and Conference Paper
Reflectance Estimation Using Local Regression Methods
Regression methods have been widely used in the problem of spectral reflectance estimation from camera responses, due to their simple application without needing prior knowledge of the imaging system. These me...
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Chapter and Conference Paper
Face Recognition under Variable Illumination by Weighted-Subband Edge Enhancement
This article presents a novel weighted-subband method based on wavelet decomposition for face recognition under variable illumination. Different levels of subbands contain different features of the edge of a h...
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Chapter and Conference Paper
Learning with Multiple Orientations and Scales for Face Recognition
A novel feature fusion algorithm using multiple orientations and scales for illumination-robust face recognition is proposed in this paper. For a given image, it will firstly be transformed by a group of Gabor...
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Chapter and Conference Paper
On a New Class of Framelet Kernels for Support Vector Regression and Regularization Networks
Kernel-based machine learning techniques, such as support vector machines, regularization networks, have been widely used in pattern analysis. Kernel function plays an important role in the design of such lear...
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Chapter and Conference Paper
Detecting Periodically Expression in Unevenly Spaced Microarray Time Series
Spectral estimation has important applications to microarray time series analysis. For unevenly sampled data, a common spectral estimation technique is to use the Lomb-Scargle algorithm. In this paper, we intr...
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Chapter and Conference Paper
Biclustering of Microarray Data Based on Singular Value Decomposition
Biclustering is an important approach in microarray data analysis. Using biclustering algorithms, one can identify sets of genes sharing compatible expression patterns across subsets of samples. These patterns...
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Chapter and Conference Paper
A Multi-scale Dynamically Growing Hierarchical Self-organizing Map for Brain MRI Image Segmentation
With Kohonen’s self-organizing map based brain MRI image segmentation, there are still some regions which are not partitioned accurately, particularly in the transitional regions of gray matter and white matte...
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Chapter and Conference Paper
Face Recognition by Inverse Fisher Discriminant Features
For face recognition task the PCA plus LDA technique is a famous two-phrase framework to deal with high dimensional space and singular cases. In this paper, we examine the theory of this framework: (1) LDA can...
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Chapter and Conference Paper
Wavelet-Based 2-Parameter Regularized Discriminant Analysis for Face Recognition
This paper addresses the small-size problem in Fisher Discriminant Analysis. We propose to use wavelet transform for preliminary dimensionality reduction and use a two-parameter regularization scheme for the w...
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Chapter
On the theory of a singular Vekua system
We study the solvability of the Riemann-Hilbert problem for a singular Vekua system. For the number of continuous solutions, we shall show that it depends not only on the index but also on the location and typ...
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Chapter and Conference Paper
Face Recognition Based on Local Fisher Features
To efficiently solve human face image recognition problem with an image database, many techniques have been proposed. A key step in these techniques is the extraction of features for indexing in the database a...
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Chapter
An Eigenvalue Problem for Analytic Functions
An eigenvalue problem for analytic functions with Riemann-Hilbert-Poincaré boundary conditions is studied. It is shown that the spectrum are composed of discrete points and continuous curves in the complex plane.
