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China and the Globalization of Biomedicine, ed. David Luesink, William H. Schneider and Zhang Daqing
2021
English Historical Review
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David Zhang (张颖) interview for the China Boom Project
[article]
2010
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David Zhang, Founding Managing Partner of Matrix Partners China, was interviewed by the Asia Society staff in Beijing, China on June 9, 2010. ...
08: DZ: ok...So, um, My name is David Zhang, I was born in 1973, in Shanghai, moved around with my parents during the cultural revolution, and we first lived in the Shandong province, in the city called ...
Main diff between the Jack Ma and David Zhang is that Jack Ma (although he doesn t say this directly) seems to put emphasis on the growing occurring since China's Reform and Opening policy, but Zhang dates ...
doi:10.7282/t3542mnr
fatcat:zfbqhv2vengvvcjtfftubqxylm
Dual Asymmetric Deep Hashing Learning
[article]
2018
arXiv
pre-print
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Due to the impressive learning power, deep learning has achieved a remarkable performance in supervised hash function learning. In this paper, we propose a novel asymmetric supervised deep hashing method to preserve the semantic structure among different categories and generate the binary codes simultaneously. Specifically, two asymmetric deep networks are constructed to reveal the similarity between each pair of images according to their semantic labels. The deep hash functions are then
arXiv:1801.08360v1
fatcat:rutggdlu6jhxhkjowk4jwwf3hy
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... through two networks by minimizing the gap between the learned features and discrete codes. Furthermore, since the binary codes in the Hamming space also should keep the semantic affinity existing in the original space, another asymmetric pairwise loss is introduced to capture the similarity between the binary codes and real-value features. This asymmetric loss not only improves the retrieval performance, but also contributes to a quick convergence at the training phase. By taking advantage of the two-stream deep structures and two types of asymmetric pairwise functions, an alternating algorithm is designed to optimize the deep features and high-quality binary codes efficiently. Experimental results on three real-world datasets substantiate the effectiveness and superiority of our approach as compared with state-of-the-art.
Tongue Color Analysis for Medical Application
[chapter]
2017
Tongue Image Analysis
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An in-depth systematic tongue color analysis system for medical applications is proposed. Using the tongue color gamut, tongue foreground pixels are first extracted and assigned to one of 12 colors representing this gamut. The ratio of each color for the entire image is calculated and forms a tongue color feature vector. Experimenting on a large dataset consisting of 143 Healthy and 902 Disease (13 groups of more than 10 samples and one miscellaneous group), a given tongue sample can be
doi:10.1007/978-981-10-2167-1_11
fatcat:6je45t5egzaphiagnjxaqs4bra
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... ed into one of these two classes with an average accuracy of 91.99%. Further testing showed that Disease samples can be split into three clusters, and within each cluster most if not all the illnesses are distinguished from one another. In total 11 illnesses have a classification rate greater than 70%. This demonstrates a relationship between the state of the human body and its tongue color.
Fast Tracking via Spatio-Temporal Context Learning
[article]
2013
arXiv
pre-print
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In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining
arXiv:1311.1939v1
fatcat:l2v5u5g6eja3vgpmautrndakj4
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... the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness.
Computerized Tongue Diagnosis Based on Bayesian Networks
[chapter]
2017
Tongue Image Analysis
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Zhang and S. Wang for their kindly help. Fig. 1 . 1 The outline of the computerized tongue diagnosis system. ...
doi:10.1007/978-981-10-2167-1_14
fatcat:g7x6i4djcrantjsxjgnhcru3ce
Distance metric learning by knowledge embedding
2004
Pattern Recognition
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This paper presents an algorithm which learns a distance metric from a data set by knowledge embedding and uses the new distance metric to solve nonlinear pattern recognition problems such a clustering.
doi:10.1016/s0031-3203(03)00218-8
fatcat:qw5dclguezhydflhs7lmdrrx6a
Performance Metrics
[chapter]
2009
Encyclopedia of Biometrics
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Performance Measures
[chapter]
2009
Encyclopedia of Biometrics
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A simulation environment for drone cinematography
[article]
2020
arXiv
pre-print
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In this paper, we present a workflow for the simulation of drone operations exploiting realistic background environments constructed within Unreal Engine 4 (UE4). Methods for environmental image capture, 3D reconstruction (photogrammetry) and the creation of foreground assets are presented along with a flexible and user-friendly simulation interface. Given the geographical location of the selected area and the camera parameters employed, the scanning strategy and its associated flight
arXiv:2010.01315v1
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... are first determined for image capture. Source imagery can be extracted from virtual globe software or obtained through aerial photography of the scene (e.g. using drones). The latter case is clearly more time consuming but can provide enhanced detail, particularly where coverage of virtual globe software is limited. The captured images are then used to generate 3D background environment models employing photogrammetry software. The reconstructed 3D models are then imported into the simulation interface as background environment assets together with appropriate foreground object models as a basis for shot planning and rehearsal. The tool supports both free-flight and parameterisable standard shot types along with programmable scenarios associated with foreground assets and event dynamics. It also supports the exporting of flight plans. Camera shots can also be designed to provide suitable coverage of any landmarks which need to appear in-shot. This simulation tool will contribute to enhanced productivity, improved safety (awareness and mitigations for crowds and buildings), improved confidence of operators and directors and ultimately enhanced quality of viewer experience.
On David type Siegel Disks of the Sine family
[article]
2011
arXiv
pre-print
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The main purpose of this paper is to extend this result to the case that θ is of David type. We prove Main Theorem. Let 0 < θ < 1 be an irrational number of David type. ...
Let 0 < θ < 1 be an irrational number of David type. Let 0 < α < 1 be the irrational number such that α ≡ 2θ mod (1). Then α is also of David type. Proof. ...
arXiv:0812.0431v2
fatcat:6izie4hqjfbazkhxjoa6phk6pq
A Local Active Contour Model for Image Segmentation with Intensity Inhomogeneity
[article]
2013
arXiv
pre-print
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A novel locally statistical active contour model (ACM) for image segmentation in the presence of intensity inhomogeneity is presented in this paper. The inhomogeneous objects are modeled as Gaussian distributions of different means and variances, and a moving window is used to map the original image into another domain, where the intensity distributions of inhomogeneous objects are still Gaussian but are better separated. The means of the Gaussian distributions in the transformed domain can be
arXiv:1305.7053v1
fatcat:ujttz7v5vbcwzcizkhjikvxgym
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... daptively estimated by multiplying a bias field with the original signal within the window. A statistical energy functional is then defined for each local region, which combines the bias field, the level set function, and the constant approximating the true signal of the corresponding object. Experiments on both synthetic and real images demonstrate the superiority of our proposed algorithm to state-of-the-art and representative methods.
Enhanced-efficiency fertilizers are not a panacea for resolving the nitrogen problem
2017
Global Change Biology
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., 2009 , Zhang et al., 2012 . ...
Zhang F, Cui Z, Chen X et al. (2012) Integrated Nutrient Management for Food Security and Environmental Quality in China. 116, 1-40. ...
doi:10.1111/gcb.13918
pmid:28973790
fatcat:arogftuspfbobltzq67x6eeg7i
Power in Liquid Democracy
[article]
2020
arXiv
pre-print
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The paper develops a theory of power for delegable proxy voting systems. We define a power index able to measure the influence of both voters and delegators. Using this index, which we characterize axiomatically, we extend an earlier game-theoretic model by incorporating power-seeking behavior by agents. We analytically study the existence of pure strategy Nash equilibria in such a model. Finally, by means of simulations, we study the effect of relevant parameters on the emergence of power inequalities in the model.
arXiv:2010.07070v1
fatcat:g5p2hwkrhff2bdulalc6jsa5gy
Decomposition Without Regret
[article]
2022
arXiv
pre-print
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Thereafter, many solutions to the Expression Problem have been proposed [Carette et al. 2009; Hofer et al. 2008; Oliveira and Cook 2012; Swierstra 2008; Wang and Oliveira 2016; Odersky 2001, 2005; Zhang ...
contrast, it can be simplified by switching to object-oriented style and adding the extensions modularly as classes with C : The transformed object-oriented code looks very much like the core part of Zhang ...
arXiv:2204.10411v1
fatcat:bmtsggflwbdffctj7lzdvrmxty
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