Songde Ma

Publication List Details

Period

1997 - 2009

Number

21

Co-Authors

MVA '96 IAPR Workshop on Machine Vision Applications. November. 12-14,1996. Tokyo. Japan Energy-based Method for Road Extraction from Satellite Images (2009)

Ke Qifa, Xiao Jing, Yang Zhiyong, Songde Ma

In this paper, we present a new method for automatic road tracking and extraction from satellite images. Our method is a kind of global and parallel method. It includes the following three parts: I)...

Planar Sharp Enhancement by General Geometric Heat Flow (2009)

Ge Cong, Songde Ma

In this paper, we want to find a corner enhancement curve deformation approach. We consider General Geometric Heat Flow(GGHF) as a general deformation approach, and the evolution of curvature in the...

Consistent Correspondence between Arbitrary Manifold Surfaces (2008)

Huai-yu Wu, Chunhong Pan, Qing Yang, Songde Ma

We propose a novel framework for consistent correspondence between arbitrary manifold meshes. Different from most existing methods, our approach directly maps the connectivity of the source mesh onto...

Chinese Journal of Electronics, 1997 Noise Removal and Feature Extraction Based on Multiscale Morphological Filtering 1 (2008)

Yongdong Wu, Songde Ma

Abstract: In this paper, a novel multiscale morphological operation is offered, which is a combination of multiscale dilation and erosion, or an extension of morphological opening. With respect to...

Virtual Mouse----Inputting Device by Hand Gesture Tracking and Recognition + (2008)

Changbo Hu, Lichen Liang, Songde Ma, Hanqing Lu

Abstract. In this paper, we develop a system to track and recognize hand motion in nearly real time. An important application of this system is to simulate mouse as a visual inputting device....

Topology-Preserved Diffusion Distance for Histogram Comparison (2008)

Wang Yan, Qiqi Wang, Qingshan Liu, Hanqing Lu, Songde Ma

In most previous works, histograms are simply treated as n-dimensional arrays or even reshaped into vectors when measuring the distances between them. However many histograms have their intrinsic...

Characterizing the dynamic connectivity between genes by variable parameter regression and Kalman filtering based on temporal gene expression data (2005)

Cui, Qinghua, Liu, Bing, Jiang, Tianzi, Ma, Songde

Motivation: One popular method for analyzing functional connectivity between genes is to cluster genes with similar expression profiles. The most popular metrics measuring the similarity (or...

A combinational feature selection and ensemble neural network method for classification of gene expression data (2004)

Liu, Bing, Cui, Qinghua, Jiang, Tianzi, Ma, Songde

Abstract Background Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for a...

Esub8: A novel tool to predict protein subcellular localizations in eukaryotic organisms (2004)

Cui, Qinghua, Jiang, Tianzi, Liu, Bing, Ma, Songde

Abstract Background Subcellular localization of a new protein sequence is very important and fruitful for understanding its function. As the number of new genomes has dramatically increased over...

BioMed Central Open Access (2004)

Bmc Bioinformatics, Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma

Research article A combinational feature selection and ensemble neural network method for classification of gene expression data

Characterizing the dynamic connectivity between genes by variable parameter regression and Kalman filtering based on temporal gene expression data (2004)

Cui, Qinghua, Liu, Bing, Jiang, Tianzi, Ma, Songde

Motivation: one popular method for analyzing functional connectivity between genes is to cluster genes with similar expression profiles. The most popular metrics measuring the similarity (or...

Characterizing the dynamic connectivity between genes by variable parameter regression and Kalman filtering based on temporal gene expression data (2004)

Cui, Qinghua, Liu, Bing, Jiang, Tianzi, Ma, Songde

Motivation: one popular method for analyzing functional connectivity between genes is to cluster genes with similar expression profiles. The most popular metrics measuring the similarity (or...

Solving the Small Sample Size Problem of LDA (2002)

Rui Huang, Qingshan Liu, Hanqing Lu, Songde Ma

The small sample size problem is often encountered in pattern recognition. It results in the singularity of the within-class scatter matrix Sw in Linear Discriminant Analysis (LDA). Different methods...

A novel probability model for background maintenance and subtraction (2002)

Dongsheng Wang, Tao Feng, Heung-yeung Shum, Songde Ma

“Background maintenance and subtraction ” is an important problem for many computer vision applications. This paper proposes a novel model for background. This model includes two components and...

General scheme of region competition based on scale space (2001)

Ming Tang, Songde Ma, Senior Member

AbstractÐIn this paper, we propose a general scheme of region competition (GSRC) for image segmentation based on scale space. First, we present a novel classification algorithm to cluster the image...

10th Workshop �Theoretical Foundations of Computer Vision" Multi-Image Search, Filtering, Reasoning and (2000)

Alfred Bruckstein, Thomas Huang, Reinhard Klette, Songde Ma, R. Klette, Y. Aloimonos, ...

Many problems in computer vision involve multiple images. These could be im-ages taken by multiple cameras of the same scene, video sequences or multispectral images, etc. This workshop was concerned...

Dyadic scale space (1997)

Ge Cong, Songde Ma

We approximate Gaussian function with any scale by linear combination of Gaussian functions with dyadic scales so that Scale Space can be constructed much more eficiently. The approximation error is...