335 Result(s)
within
English
Computer Science
Image Processing and Computer Vision
**g-** Ge
Chapter
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Chapter and Conference Paper
A Fast and Robust Ellipse Detection Algorithm Based on Pseudo-random Sample Consensus
Ellipse is one of the most common features that appears in images. Over years in research, real-timing and robustness have been two very challenging problems aspects of ellipse detection. Aiming to tackle them...
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Chapter and Conference Paper
An Efficient Candidate Set Size Reduction Method for Coarse-Classification in Chinese Handwriting Recognition
In this paper, we introduce an efficient clustering based coarse-classifier for a Chinese handwriting recognition system to accelerate the recognition procedure. We define a candidate-cluster-number for each c...
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Chapter and Conference Paper
Reinforcement Learning with Markov Logic Networks
In this paper, we propose a method to combine reinforcement learning (RL) and Markov logic networks (MLN). RL usually does not consider the inherent relations or logical connections of the features. Markov log...
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Chapter and Conference Paper
Computerized Detection and Classification of Malignant and Benign Microcalcifications on Full Field Digital Mammograms
The purpose of the study is to develop an automated system for detecting microcalcifications within a predefined region of interest (ROI), and classifying the clusters as malignant and benign on full-filled di...
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Chapter and Conference Paper
Analysis of the Kurtosis-Sum Objective Function for ICA
The majority of existing Independent Component Analysis (ICA) algorithms are based on maximizing or minimizing a certain objective function with the help of gradient learning methods. However, it is rather dif...
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Chapter and Conference Paper
Breast Mass Classification on Full-Field Digital Mammography and Screen-Film Mammography
Studies have shown that full-field digital mammography (FFDM) has the potential to alleviate some of the limitations of screen-film mammography (SFM). It is therefore important to develop computer-aided diagno...
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Chapter and Conference Paper
CSDD Features: Center-Surround Distribution Distance for Feature Extraction and Matching
We present an interest region operator and feature descriptor called Center-Surround Distribution Distance (CSDD) that is based on comparing feature distributions between a central foreground region and a surr...
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Chapter and Conference Paper
Auto-calibration of a Laser 3D Color Digitization System
A typical 3D color digitization system is composed of 3D sensors to obtain 3D information, and color sensors to obtain color information. Sensor calibration plays a key role in determining the correctness and ...
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Chapter and Conference Paper
An Efficient Pairwise Kurtosis Optimization Algorithm for Independent Component Analysis
In the framework of Independent Component Analysis (ICA), kurtosis has been used widely in designing source separation algorithms. In fact, the sum of absolute kurtosis values of all the output components is a...
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Chapter and Conference Paper
Synthetic Finger Phalanx with Lifelike Skin Compliance
Touching for prosthetics and social robotics is important for functional and social reasons. Current synthetic finger designs, however, are too stiff when compared to the human touch. We ask whether it would b...
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Chapter and Conference Paper
Adaptive Compliance Control for Collision-Tolerant Robot Arm with Viscoelastic Trunk
In the present work, a collision-tolerant control method was proposed to achieve a stable task performance of the robot arm in an acceptable collision-safe margin. A robot arm covered with the soft capacitive ...
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Chapter and Conference Paper
Crowd Detection with a Multiview Sampler
We present a Bayesian approach for simultaneously estimating the number of people in a crowd and their spatial locations by sampling from a posterior distribution over crowd configurations. Although this frame...
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Chapter and Conference Paper
Resting State fMRI-Guided Fiber Clustering
Fiber clustering is a prerequisite step towards tract-based analysis of white mater integrity via diffusion tensor imaging (DTI) in various clinical neuroscience applications. Many methods reported in the lite...
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Chapter and Conference Paper
Colorectal Polyp Segmentation Based on Geodesic Active Contours with a Shape-Prior Model
Automated polyp segmentation is important both in measuring polyp size and in improving polyp detection performance in CTC. We present a polyp segmentation method that is based on the combination of geodesic a...
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Chapter and Conference Paper
A Novel Neural Network for Solving Singular Nonlinear Convex Optimization Problems
Singular nonlinear convex optimization problems have been received much attention in recent years. Most existing approaches are in the nature of iteration, which is time-consuming and ineffective. Different ap...
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Chapter and Conference Paper
An Improved EDP Algorithm to Privacy Protection in Data Mining
In this paper, we propose an improved pruning algorithm with memory, which we call improved EDP algorithm. This method provides the better trade-off between data quality and privacy protection against classifi...
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Chapter and Conference Paper
Visual Cortex Inspired Junction Detection
This paper proposes a visual cortex inspired framework to detect and discriminate junction points in a visual scene. Inspired by the biological research in primary visual cortex V1 and secondary visual cortex ...
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Chapter and Conference Paper
Adaptive Rank Transform for Stereo Matching
Window selection is the main challenge for local stereo matching methods based on the rank transform and it involves two aspects : the rank window selection and the match window selection. Most recent methods ...
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Chapter and Conference Paper
Robust Mode-Free Sliding Mode Control of Multi-fingered Hand with Position Synchronization in the Task Space
In this paper, for the purpose of improving operation performance of multi-fingered hand and multiple robotic manipulators, a robust position synchronization mode-free sliding-mode control (SMC) strategy is pr...
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Chapter and Conference Paper
Multi-resolution Image Fusion Algorithm Based on Regional Cross Entropy and Regional Priority
Based on image contents, the better to simulate the process pattern of human eyes vision, a fusion algorithm of integration and highlight for the image details is proposed. Through wavelet transform, a regiona...
