263 Result(s)
within
Conference Paper
Jia**g Cheng
-
Chapter and Conference Paper
Linear Stability of a Periodic Orbit in the System of Falling Balls
We study linear stability of a periodic orbit in the hamiltonian system with many degrees of freedom introduced in [W1].
-
Chapter and Conference Paper
Graph Based Histogram Intersection for Efficient Location of Color Objects
An efficient method to detect and extract color objects from a cluttered scene based on Statistical and spatial color similarity is proposed. Color region adjacency graphs (CRAG) and six 1-D histograms corresp...
-
Chapter and Conference Paper
Cellular Automata Based Temporal Process Understanding of Urban Growth
Understanding of urban growth process is highly crucial in making development plan and sustainable growth management policy. As the process involves multi-actors, multi-behavior and various policies, it is end...
-
Chapter and Conference Paper
Face Recognition Using Overcomplete Independent Component Analysis
Most current face recognition algorithms find a set of basis functions in a subspace by training the input data. However, in many applications, the training data is limited or only a few training data are avai...
-
Chapter and Conference Paper
Fingerprint Enhancement Using Oriented Diffusion Filter
Fingerprint enhancement is a critical step in a fingerprint identific ation system. Recently, some anisotropic nonlinear diffusion filter is applied to the fingerprint preprocessed. Impressive results are main...
-
Chapter and Conference Paper
Image Retrieval Based on Independent Components of Color Histograms
Color histograms are effective for representing color visual features. However, the high dimensionality of feature vectors results in high computational cost. Several transformations, including principal compo...
-
Chapter and Conference Paper
Fingerprint Alignment Using Similarity Histogram
The performance of fingerprint matching algorithm relies heavily on the accuracy of fingerprint alignment. Falsely aligning two feature sets extracted from two finger images of a fingerprint will increase the ...
-
Chapter and Conference Paper
Fingerprint Minutiae Matching with Orientation and Ridge
An important step in automatic fingerprint identification system (AFIS) is fingerprint matching. The task of fingerprint matching is to verify whether two fingerprints are coming from same finger. In this pape...
-
Chapter and Conference Paper
Improving ICA Performance for Modeling Image Appearance with the Kernel Trick
Independent Component Analysis (ICA) is a popular method for modeling image appearance, but it is inadequate to describe complex nonlinear variations of real images due to illumination, distortion, and other v...
-
Chapter and Conference Paper
Extraction of Name and Transliteration in Monolingual and Parallel Corpora
Named-entities in free text represent a challenge to text analysis in Machine Translation and Cross Language Information Retrieval. These phrases are often transliterated into another language with a different...
-
Chapter and Conference Paper
Random Independent Subspace for Face Recognition
Independent Component Analysis (ICA) is a popular approach for face recognition. However, face recognition is often a small sample size problem, which will weaken the recognition performance of ICA classifier....
-
Chapter and Conference Paper
A Cascaded Ensemble Learning for Independent Component Analysis
In case of application to high-dimensional pattern recognition task, Independent Component Analysis (ICA) often suffers from two challenging problems. One is the small sample size problem. The other is the cho...
-
Chapter and Conference Paper
A Novel Adaptive Gaussian Mixture Model for Background Subtraction
Background subtraction is a typical approach to foreground segmentation by comparing each new frame with a learned model of the scene background in image sequences taken from a static camera. In this paper, we...
-
Chapter and Conference Paper
Web-Based Unsupervised Learning for Query Formulation in Question Answering
Converting questions to effective queries is crucial to open-domain question answering systems. In this paper, we present a web-based unsupervised learning approach for transforming a given natural-language qu...
-
Chapter and Conference Paper
Two New Fast Methods for Simultaneous Scalar Multiplication in Elliptic Curve Cryptosystems
This paper defines a signed factorial expansion of an integer, and proposes two new methods for simultaneous scalar multiplication based on the expansion when multiple bases are fixed in advance. Where the Fir...
-
Chapter and Conference Paper
Bilingual Sentence Alignment Based on Punctuation Statistics and Lexicon
This paper presents a new method of aligning bilingual parallel texts based on punctuation statistics and lexical information. It is demonstrated that the punctuation statistics prove to be effective means to ...
-
Chapter and Conference Paper
Kernel Modified Quadratic Discriminant Function for Facial Expression Recognition
The Modified Quadratic Discriminant Function was first proposed by Kimura et al to improve the performance of Quadratic Discriminant Function, which can be seen as a dot-product method by eigen-decompostion of...
-
Chapter and Conference Paper
A Novel Multiple Support Vector Machines Architecture for Chaotic Time Series Prediction
Inspired by the so-called “divide-and-conquer” principle that is often used to attack a complex problem by dividing it into simpler problems, a two-stage multiple support vector machines (SVMs) architecture is...
-
Chapter and Conference Paper
A Novel Multiple Neural Networks Modeling Method Based on FCM
A single neural network model developed from a limited amount of sample data usually lacks robustness and generalization. Neural network model robustness and prediction accuracy can be improved by combining mu...
-
Chapter and Conference Paper
A Distributed Support Vector Machines Architecture for Chaotic Time Series Prediction
Chaos limits predictability so that the prediction of chaotic time series is very difficult. Originated from the idea of combining several models to improve prediction accuracy and robustness, a new approach i...
