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检索条件"机构=Intelligent Computing & Machine Learning Lab"
74 条 记 录,以下是51-60 订阅
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WAVELET-BASED STATISTICAL FEATURES FOR DISTINGUISHING MITOTIC AND NON-MITOTIC CELLS IN BREAST CANCER HISTOPATHOLOGY
WAVELET-BASED STATISTICAL FEATURES FOR DISTINGUISHING MITOTI...
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IEEE International Conference on Image Processing
作者: Tao Wan Xu Liu Jianhui Chen Zengchang Qin Intelligent Computing and Machine Learning Lab Beihang University No 91 Central Hospital of PLA
To diagnose breast cancer (BCa), the number of mitotic cells present in tissue sections is an important parameter to examine and grade breast biopsy specimen. The differentiation of mitotic from non-mitotic cells in b... 详细信息
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Wavelet-based statistical features for distinguishing mitotic and non-mitotic cells in breast cancer histopathology
Wavelet-based statistical features for distinguishing mitoti...
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作者: Wan, Tao Liu, Xu Chen, Jianhui Qin, Zengchang Intelligent Computing and Machine Learning Lab Beihang University Beijing100191 China School of Biological Science and Medical Engineering Beihang University Beijing100191 China No 91 Central Hospital of PLA Henan454003 China
To diagnose breast cancer (BCa), the number of mitotic cells present in tissue sections is an important parameter to examine and grade breast biopsy specimen. The differentiation of mitotic from non-mitotic cells in b... 详细信息
来源: 评论
TuneRank Model for Main Melody Extraction from Multi-part Musical Scores
TuneRank Model for Main Melody Extraction from Multi-part Mu...
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International Conference on intelligent Human-machine Systems and Cybernetics, IHMSC
作者: Hanqing Zhao Zengchang Qin École d'Ingénieur Généraliste Beihang University Beijing China Intelligent Computing and Machine Learning Lab. Beihang University China
A musical part is a strand of music played by an individual instrument within a larger music work, main melody is a single musical part which consists of the most significant melodic elements of multi-part musical sco... 详细信息
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A novel texture image segmentation model based on multi-scale structure
A novel texture image segmentation model based on multi-scal...
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International Conference on Multisensor Fusion and Integration for intelligent Systems (MFI)
作者: Hai Min Xiao-Feng Wang De-Shuang Huang Department of Automation University of Science and Technology of China Hefei Anhui China Intelligent Computing Lab Chinese Academy of Sciences Department of Computer Science and Technology Hefei University Hefei Anhui China Machine Learning and Systems Biology Laboratory Tongji University Shanghai China
Using neighborhood information from different scales in an effective way for object segmentation, however, remains a difficult problem. In this paper, we propose a novel method which incorporates the multi-scale struc... 详细信息
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Image super-resolution using local learnable kernel regression
Image super-resolution using local learnable kernel regressi...
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11th Asian Conference on Computer Vision, ACCV 2012
作者: Liao, Renjie Qin, Zengchang Intelligent Computing and Machine Learning Lab. School of Automation Science and Electrical Engineering Beihang University Beijing China
In this paper, we address the problem of learning-based image super-resolution and propose a novel approach called Local Learnable Kernel Regression (LLKR). The proposed model employs a local metric learning method to... 详细信息
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Hybrid Bayesian estimation tree learning with discrete and fuzzy labels
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Frontiers of Computer Science 2013年 第6期7卷 852-863页
作者: Zengchang QIN Tao WAN Intelligent Computing and Machine Learning Lab School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China School of Biological Science and Medical Engineering Beihang University Beijing 100191 China Department of Biomedical Engineering Case Western Reserve University Cleveland OH 44106 USA
Classical decision tree model is one of the classical machine learning models for its simplicity and effectiveness in applications. However, compared to the DT model, probability estimation trees (PETs) give a bette... 详细信息
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A robot vision system in ABU robocon contest: Visual servoing navigation and object tracking
A robot vision system in ABU robocon contest: Visual servoin...
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2nd International Conference on Materials and Products Manufacturing Technology, ICMPMT 2012
作者: Li, Xihua Zhang, Ping Lin, Sina Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China Intelligent Computing and Machine Learning Lab Beihang University Beijing 100191 China
This article took the 2011 ABU Robocon Contest as background, and introduced the design and implementation of a vision system for visual servoing navigation and object tracking in this contest. For visual servoing nav... 详细信息
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Preface
Advanced Topics in Science and Technology in China
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Advanced Topics in Science and Technology in China 2014年 vii页
作者: Qin, Zengchang Tang, Yongchuan Intelligent Computing and Machine Learning Lab School of ASEE Beihang University Beijing China College of Computer Science Zhejiang University HangzhouZhejiang China
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A bag-of-tones model with MFCC features for musical genre classification
A bag-of-tones model with MFCC features for musical genre cl...
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9th International Conference on Advanced Data Mining and Applications, ADMA 2013
作者: Qin, Zengchang Liu, Wei Wan, Tao Intelligent Computing and Machine Learning Lab School of ASEE Beihang University Beijing 100191 China School of Advanced Engineering Beihang University Beijing 100191 China School of Biological Science and Medical Engineering Beihang University Beijing 100191 China Department of Biomedical Engineering Case Western Reserve University Cleveland OH 44106 United States
Musical genres are categorical labels created by humans to characterize pieces of music. These labels may be highly subjective but typically are related to the instrumentation, rhythmic structure, and harmonic content... 详细信息
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Statistical fault localization using execution sequence
Statistical fault localization using execution sequence
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2012 International Conference on machine learning and Cybernetics, ICMLC 2012
作者: You, Zunwen Qin, Zengchang Zheng, Zheng Beihang University China Intelligent Computing and Machine Learning Lab. School of ASEE Beihang University China
Fault localization is one of the most expensive and time consuming jobs in program debugging. Many approaches were proposed in order to locate faults effectively and efficiently. In this paper, we proposed a novel sta... 详细信息
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