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242 Result(s)
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Chapter and Conference Paper
Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria
From data mining to computer vision, from visual surveillance to biometrics research, from biomedical imaging to bioinformatics, and from multimedia retrieval to information management, a large amount of data ...
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Chapter and Conference Paper
Noisy Image Segmentation by a Robust Clustering Algorithm Based on DC Programming and DCA
We present a fast and robust algorithm for image segmentation problems via Fuzzy C-Means (FCM) clustering model. Our approach is based on DC (Difference of Convex functions) programming and DCA (DC Algorithms)...
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Chapter and Conference Paper
A Multi-agent Architecture Based Cooperation and Intelligent Decision Making Method for Multirobot Systems
The design of a hybrid multi-agent architecture is proposed for multirobot systems. Analysis of the architecture shows that it is suitable for multirobot systems dealing with changing environments. Meanwhile, ...
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Chapter and Conference Paper
Local Coordinates Alignment and Its Linearization
Manifold learning has been demonstrated to be an effective way to discover the intrinsic geometrical structure of a number of samples. In this paper, a new manifold learning algorithm, Local Coordinates Alignm...
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Chapter and Conference Paper
Using Genetic Algorithm to Balance the D-Index Algorithm for Metric Search
The Distance Index (D-index) is a recently introduced metric indexing structure which capable of state-of-the-art performance in large scale metric search applications. In this paper we address the problem of ...
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Chapter and Conference Paper
An Efficient Similarity Searching Algorithm Based on Clustering for Time Series
Indexing large time series databases is crucial for efficient searching of time series queries. In the paper, we propose a novel indexing scheme RQI (Range Query based on Index) which includes three filtering met...
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Chapter and Conference Paper
Multimedia Evidence Fusion for Video Concept Detection via OWA Operator
We present a novel multi-modal evidence fusion method for highlevel feature (HLF) detection in videos. The uni-modal features, such as color histogram, transcript texts, etc, tend to capture different aspects ...
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Chapter and Conference Paper
Graph-Based Pairwise Learning to Rank for Video Search
Learning-based ranking is a promising approach to a variety of search tasks, which is aimed at automatically creating the ranking model based on training samples and machine learning techniques. However, the p...
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Chapter and Conference Paper
The Design of Shield Tunnelling Machine Cutter Header’s Cutting Performance Test Bed
In order to solve the problems of data access and low accuracy on the shield tunnelling machine construction site, a test bed that can simulate the shield tunnelling machine cutter head’s cutting performance i...
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Chapter and Conference Paper
Consensus Target Tracking in Multi-robot Systems
By sharing collective sensor information, individuals in biological flocking systems have more opportunities for finding food and avoiding predators. This paper introduces a distributed robot flocking system w...
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Chapter and Conference Paper
3D Digitization and Its Applications in Cultural Heritage
3D digitizing technology has a variety of applications including reverse engineering, quality control, virtual reality and digital heritage. Recently, great development in 3D digitizing technology facilitates ...
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Chapter and Conference Paper
Generating Representative Views of Landmarks via Scenic Theme Detection
Visual summarization of landmarks is an interesting and non-trivial task with the availability of gigantic community-contributed resources. In this work, we investigate ways to generate representative and dist...
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Chapter and Conference Paper
Hardware Design in Smart Home Applications: Rapid Prototy** and Embedded Systems
Research advances in smart home technologies are highly diverse and innovative[1,2,3]. Some of these novel ideas involve in creating new hardware to perform distinct functionality. In this paper, we present tw...
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Chapter and Conference Paper
Topological Design of Weakly-Coupled 3-Translation Parallel Robots Based on Hybrid-Chain Limbs
This paper presented a novel and systematic design method for topological structure of weakly-coupled parallel robots with three pure translations by using hybrid chains. First, the general design steps for hy...
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Chapter and Conference Paper
Five-Axis Milling Simulation Based on B-rep Model
Formulating the swept volume by a cutter along its path plays an important role in volumetric simulation of five-axis machining. In some cases, the swept volume may experience self-intersection, which is a cru...
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Chapter and Conference Paper
Experimental Studies of Visual Models in Automatic Image Annotation
Semantic image annotation can be viewed as a map** procedure from image features to semantic labels, by the steps of image feature extraction and image-semantic map**. The features can be low-level visual ...
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Chapter and Conference Paper
Crevasse Detection in Antarctica Using ASTER Images
The crevasse, which has always been one of the most dangerous factors on the Antarctic continent, threatens the life of the team members during the polar expedition. Crevasse detection is thus an increasingly ...
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Chapter and Conference Paper
Automated Identification of Thoracolumbar Vertebrae Using Orthogonal Matching Pursuit
A reliable detection and definitive labeling of vertebrae can be difficult due to factors such as the limited imaging coverage and various vertebral anomalies. In this paper, we investigate the problem of iden...
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Chapter and Conference Paper
The Design and Realization of Experiment Platform in Airborne Equipments
In view of the actual requirement of piloting aircraft of EW and the use of virtual reality technology and visualization technology, we establish a platform for virtual simulation system and analyze the main f...
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Chapter and Conference Paper
Community Discovery from Movie and Its Application to Poster Generation
Discovering roles and their relationship is critical in movie content analysis. However, most conventional approaches ignore the correlations among roles or require rich metadata such as casts and scripts, whi...