143 Result(s)
within
English
Computer Science
Pattern Recognition
Dong-**ng Wang
Conference Paper
-
Chapter and Conference Paper
Integration MBHMM and Neural Network for Totally Unconstrained Handwritten Numerals Recognition
In this paper we present a method of Multi-branch two dimensional HMM (hidden markov model ) for handwritten numeral recognition and another method of Neural network for handwrittern numeral recognition and th...
-
Chapter and Conference Paper
Global-Based Structure Damage Detection Using LVQ Neural Network and Bispectrum Analysis
In this paper, a new approach for the global-based structure damage detection is proposed, which is based on the combination of bispectrum feature extraction technique and LVQ neural network identification met...
-
Chapter and Conference Paper
A Genetic Algorithm Based Method for Molecular Docking
The essential of Molecular docking problem is to find the optimum conformation of ligand bound with the receptor at its active site. Most cases the optimum conformation has the lowest interaction energy. So th...
-
Chapter and Conference Paper
Orthogonally Rotational Transformation for Naive Bayes Learning
Naive Bayes is one of the most efficient and effective learning algorithms for machine learning, pattern recognition and data mining. But its conditional independence assumption is rarely true in real-world ap...
-
Chapter and Conference Paper
Quadric Surface Extraction by Variational Shape Approximation
Based on Lloyd iteration, we present a variational method for extracting general quadric surfaces from a 3D mesh surface. This work extends the previous variational methods that extract only planes or special ...
-
Chapter and Conference Paper
An Expert System Based on BP Neural Networks for Pre-splitting Blasting Design
The issue of pre-splitting blasting design is investigated in this paper. According to the principle of expert system and neural networks, Visual C++ 6.0 and SQL Sever 2000 are employed to develop hybrid exper...
-
Chapter and Conference Paper
A Low-Power CMOS Analog Neuro-fuzzy Chip
This paper proposes a low-power high-speed CMOS analog two- input/one-output neuro-fuzzy chip, the basic blocks of which are Gaussian membership function circuit, minimization circuit, and a centroid algorithm...
-
Chapter and Conference Paper
Outdoor Face Recognition Using Enhanced Near Infrared Imaging
In this paper, we present a robust and accurate system for outdoor (as well as indoor) face recognition, based on a recently developed enhanced near-infrared (ENIR) imaging device. Using a narrow band NIR lase...
-
Chapter and Conference Paper
A Novel Cross Layer Power Control Game Algorithm Based on Neural Fuzzy Connection Admission Controller in Cellular Ad Hoc Networks
The special scenario of the topology in the cellular Ad Hoc networks was analyzed and a novel cross layer power control game algorithm based on Neural Fuzzy Connection Admission Controller (NFCAC) was proposed...
-
Chapter and Conference Paper
Spectral Correspondence Using the TPS Deformation Model
This paper presents a novel algorithm for point correspondences using spectral graph analysis. Firstly, the correspondence probabilities are computed by using the modes of proximity matrix and the method of do...
-
Chapter and Conference Paper
Multiple Ranker Method in Document Retrieval
In this paper, we propose a multiple-ranker approach to make learning to rank methods more effective for document retrieval application. In traditional learning to rank methods, a ranker is learned from a set ...
-
Chapter and Conference Paper
Skin Detection from Different Color Spaces for Model-Based Face Detection
Skin and face detection has many important applications in intelligent human-machine interfaces, reliable video surveillance and visual understanding of human activities. In this paper, we propose an efficient...
-
Chapter and Conference Paper
Segmentation of Chinese Postal Envelope Images for Address Block Location
In this paper, we propose a simple segmentation approach for camera-captured Chinese envelope images. We first apply a moving-window thresholding algorithm, which is less curvature-biased and less sensitive to...
-
Chapter and Conference Paper
Efficient Computation of 3D Clipped Voronoi Diagram
The Voronoi diagram is a fundamental geometry structure widely used in various fields, especially in computer graphics and geometry computing. For a set of points in a compact 3D domain (i.e. a finite 3D volum...
-
Chapter and Conference Paper
Selecting an Appropriate Interestingness Measure to Evaluate the Correlation between Syndrome Elements and Symptoms
In order to select the best interestingness measure appropriate for evaluating the correlation between syndrome elements and symptoms, 60 objective interestingness measures were selected from different subject...
-
Chapter and Conference Paper
Function Projective Synchronization and Parameters Identification of Different Hyperchaotic Systems Based on Adaptive Control
In this paper a novel three dimensions chaotic system with uncertain parameters and lorenz hyperchaotic system are as examples, the function projective synchronization and parameters identification of differen...
-
Chapter and Conference Paper
Reasoning about Semantic Web Services with an Approach Based on Temporal Description Logic
Temporal description logic ALC-LTL not only has considerable expressive power, but also extends the description capability of description logic from the static domain to the dynamic domain. In this paper, ALC-LTL...
-
Chapter and Conference Paper
Bayesian Face Revisited: A Joint Formulation
In this paper, we revisit the classical Bayesian face recognition method by Baback Moghaddam et al. and propose a new joint formulation. The classical Bayesian method models the appearance difference between t...
-
Chapter and Conference Paper
Challenges in Representation Learning: A Report on Three Machine Learning Contests
The ICML 2013 Workshop on Challenges in Representation Learning focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge...
-
Chapter and Conference Paper
Exploiting the Wisdom of Crowd: A Multi-granularity Approach to Clustering Ensemble
There are three levels of granularity in a clustering ensemble system, namely, base clusterings, clusters, and instances. In this paper, we propose a novel clustering ensemble approach which integrates informa...
