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Chapter and Conference Paper
A Simple Implementation of the Stochastic Discrimination for Pattern Recognition
The method of stochastic discrimination (SD) introduced by Kleinberg ([6,7]) is a new method in pattern recognition. It works by producing weak classifiers and then combining them via the Central Limit Theorem to...
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Chapter and Conference Paper
Segmentation of Left Ventricle via Level Set Method Based on Enriched Speed Term
Level set methods have been widely employed in medical image segmentation, and the construction of speed function is vital to segmentation results. In this paper, two ideas for enriching the speed function in ...
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Chapter and Conference Paper
User Behavior Mining for On-Line GUI Adaptation
On-Line Graphics User Interface (GUI) Adaptation technology, which can predict and highlight user’s next operation in menu based graphics interface, is the key problem in next generation pervasive human comput...
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Article
Open AccessSpectral Curvature Clustering (SCC)
This paper presents novel techniques for improving the performance of a multi-way spectral clustering framework (Govindu in Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Patte...
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Chapter and Conference Paper
Distance Metric Learning-Based Conformal Predictor
In order to improve the computational efficiency of conformal predictor, distance metric learning methods were used in the algorithm. The process of learning was divided into two stages: offline learning and o...
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Chapter and Conference Paper
Object-Layout-Aware Image Retrieval for Personal Album Management
This demo shows a real-time object-layout-aware image retrieval system for personal album management. The query of the system is image’s object layout and the system retrieves images based on the layout simila...
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Chapter and Conference Paper
Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches
This paper proposes a displacement template structure for improving descriptor based face recognition approaches. With this template structure, a face is represented by a template consisting of a set of piled ...
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Chapter and Conference Paper
A Theoretical Analysis of Camera Response Functions in Image Deblurring
Motion deblurring is a long standing problem in computer vision and image processing. In most previous approaches, the blurred image is modeled as the convolution of a latent intensity image with a blur kernel...
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Chapter and Conference Paper
Local Clustering Conformal Predictor for Imbalanced Data Classification
The recently developed Conformal Predictor (CP) can provide calibrated confidence for prediction which is out of the traditional predictors’ capacity. However, CP works for balanced data and fails in the case ...
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Chapter
Erratum to: Community Understanding in Location-based Social Networks
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Chapter and Conference Paper
Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow
Background modeling and subtraction is a fundamental research topic in computer vision. Pixel-level background model uses a Gaussian mixture model (GMM) or kernel density estimation to represent the distributi...
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Chapter and Conference Paper
Towards Unified Object Detection and Semantic Segmentation
Object detection and semantic segmentation are two strongly correlated tasks, yet typically solved separately or sequentially with substantially different techniques. Motivated by the complementary effect obse...
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Chapter and Conference Paper
A Novel Dynamic Character Grou** Approach Based on the Consistency Constraints
In optical character recognition, text strings are extracted from images so that it can be edited, formatted, indexed, searched, or translated. Characters should be grouped into text strings before recognition...
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Chapter and Conference Paper
Motion-Corrected, Super-Resolution Reconstruction for High-Resolution 3D Cardiac Cine MRI
Cardiac cine MRI with 3D isotropic resolution is challenging as it requires efficient data acquisition and motion management. It is proposed to use a 2D balanced SSFP (steady-state free precession) sequence ra...
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Chapter and Conference Paper
A Stroke Width Based Parameter-Free Document Binarization Method
This paper presents a parameter-free document binarization method based on text characteristics. For a given stroke width, the text and background regions in binarized object regions are estimated with morphol...
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Chapter and Conference Paper
Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning
Cerebral small vessel disease (SVD) is a common cause of ageing-associated physical and cognitive impairment. Identifying SVD is important for both clinical and research purposes but is usually dependent on ra...
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Chapter and Conference Paper
Multi-modality Gesture Detection and Recognition with Un-supervision, Randomization and Discrimination
We describe in this paper our gesture detection and recognition system for the 2014 ChaLearn Looking at People (Track 3: Gesture Recognition) organized by ChaLearn in conjunction with the ECCV 2014 conference....
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Article
Open Access3D indoor scene modeling from RGB-D data: a survey
3D scene modeling has long been a fundamental problem in computer graphics and computer vision. With the popularity of consumer-level RGB-D cameras, there is a growing interest in digitizing real-world indoor ...
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Chapter and Conference Paper
Preprocessing and Segmentation Algorithm for Multiple Overlapped Fiber Image
In the fiber image recognition system, pinpoint segmentation is critical for fiber feature extraction and further identification. In the case of fiber image taken by the optical microscope, the overlapped type...
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Chapter and Conference Paper
Human Action Recognition Based on Sub-data Learning
Human action recognizing nowadays plays a key role in varieties of computer vision applications while at the same time it’s quite challenging for the requirement of accuracy and robustness. Most current comput...