Search Results - "Wang, Kongqiao"
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1
A Framework for Hand Gesture Recognition Based on Accelerometer and EMG Sensors
Published in IEEE transactions on systems, man and cybernetics. Part A, Systems and humans (01-11-2011)“…This paper presents a framework for hand gesture recognition based on the information fusion of a three-axis accelerometer (ACC) and multichannel…”
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2
Distributed Object Detection With Linear SVMs
Published in IEEE transactions on cybernetics (01-11-2014)“…In vision and learning, low computational complexity and high generalization are two important goals for video object detection. Low computational complexity…”
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3
A Sign-Component-Based Framework for Chinese Sign Language Recognition Using Accelerometer and sEMG Data
Published in IEEE transactions on biomedical engineering (01-10-2012)“…Identification of constituent components of each sign gesture can be beneficial to the improved performance of sign language recognition (SLR), especially for…”
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4
Robust CoHOG Feature Extraction in Human-Centered Image/Video Management System
Published in IEEE transactions on systems, man and cybernetics. Part B, Cybernetics (01-04-2012)“…Many human-centered image and video management systems depend on robust human detection. To extract robust features for human detection, this paper…”
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5
Active learning for image retrieval with Co-SVM
Published in Pattern recognition (2007)“…In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an…”
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6
Stroke++: A new Chinese input method for touch screen mobile phones
Published in International journal of human-computer studies (01-04-2014)“…Over the past few decades, users have been feeling clumsy inputting Chinese on mobile devices, partly because the layout of the keyboard/keypad is originally…”
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7
Character location in scene images from digital camera
Published in Pattern recognition (01-10-2003)“…In this paper, a robust, connected-component-based character locating method is presented. It is an important part of an optical character recognition (OCR)…”
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8
Learning from Large-Scale Wearable Device Data for Predicting the Epidemic Trend of COVID-19
Published in Discrete dynamics in nature and society (05-05-2020)“…The coronavirus disease 2019 (COVID-19) pandemic has triggered a new response involving public health surveillance. The popularity of personal wearable devices…”
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9
EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network
Published in Knowledge-based systems (12-10-2020)“…Emotion recognition based on electroencephalography (EEG) is of great important in the field of Human–Computer Interaction (HCI), which has received extensive…”
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10
Toward improving ECG biometric identification using cascaded convolutional neural networks
Published in Neurocomputing (Amsterdam) (28-05-2020)“…Biometric identification via Electrocardiogram (ECG) signals, which can be captured by devices with ECG sensors, have been explored for human identification…”
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11
Multimodal learning for multi-label image classification
Published in 2011 18th IEEE International Conference on Image Processing (01-09-2011)“…We tackle the challenge of web image classification using additional tags information. Unlike traditional methods that only use the combination of several…”
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Conference Proceeding -
12
Real-time and multi-view face tracking on mobile platform
Published in 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-05-2011)“…The development of mobile platform has raised an emergent requirement for face-related multimedia applications. However, as the basis of such applications,…”
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Conference Proceeding -
13
A hierarchical multiscale and multiangle system for human face detection in a complex background using gravity-center template
Published in Pattern recognition (1999)“…This paper presents a novel faster search scheme of gravity-center template matching compared with the traditional search method in an image for human face…”
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14
Robust face anti-spoofing with depth information
Published in Journal of visual communication and image representation (01-11-2017)“…•A robust representation jointly utilizing textual information and depth information.•A face anti-spoofing benchmark dataset with depth information.•We achieve…”
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15
Local primitive code mining for fast and accurate face recognition
Published in 2011 18th IEEE International Conference on Image Processing (01-09-2011)“…This paper proposes a new feature descriptor named as Local Primitive Code (LPC), which exhibits impressively discriminative capability on various face…”
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Conference Proceeding -
16
Local binary pattern probability model based facial feature localization
Published in 2010 IEEE International Conference on Image Processing (01-09-2010)“…In this paper, an active shape model (ASM) based facial feature localization strategy is proposed, which employs a local binary pattern (LBP) probability…”
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Conference Proceeding -
17
A unified gradient domain method for seamless image processing
Published in 2009 16th IEEE International Conference on Image Processing (ICIP) (01-11-2009)“…Seamless image processing concerns stitching parts of images in a visually natural manner. In this paper, we present a seamless processing method which unifies…”
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Conference Proceeding -
18
Hand posture recognition with co-training
Published in 2008 19th International Conference on Pattern Recognition (01-12-2008)“…As an emerging human-computer interaction approach vision based hand interaction is more natural and efficient. However in order to achieve high accuracy, most…”
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Conference Proceeding -
19
DDC-Net: Dual-Domain Cascaded Network with POCS Prior for Fast MRI Reconstruction
Published in IEEE sensors journal (01-04-2024)“…Magnetic Resonance Imaging (MRI) is a powerful diagnostic tool that provides high-resolution images, but it requires a time-consuming scanning procedure. To…”
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20
Multi-View Sampling for Relevance Feedback in Image Retrieval
Published in 18th International Conference on Pattern Recognition (ICPR'06) (2006)“…Labelling is a boring task for users in relevance feedback. How to maximally reduce the labelling is crucial for relevance feedback algorithms. In spirited by…”
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Conference Proceeding