Feature representation for large scale classification by Yang, Hao

“…Particularly, we propose linear regression support vector machine (LR-SVM) for bag-of-visual-words (BOV) data, feature pair selection (FPS) for data with multiplicative correlation between its features, and a multi-view multi-instance convolution neural network based system for raw image data with multiple objects. …”
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Twisted formalism for 3d N=4 theories by Garner, N

“…We describe the topological A and B twists of 3d ${\mathcal {N}}=4$ theories of hypermultiplets gauged by ${\mathcal {N}}=4$ vector multiplets as certain deformations of the holomorphic–topological (HT) twist of those theories, utilizing the twisted superfields of Aganagic–Costello–Vafa–McNamara describing HT-twisted 3d ${\mathcal {N}}=2$ theories. …”

Illuminance flow estimation by regression by Karlsson, SM, Pont, SC, Koenderink, JJ, Zisserman, A

“…In a regression setting, we found for both ridge regression and support vector machines, that the optimal solution shows close resemblance to the gradient based structure tensor (also known as the second moment matrix).…”

Video surveillance system for fall detection at home by Selvaraj, Pavitra

“…Silhouette areas are obtained with the use of two related methods and two different types of feature vectors are identified. Two support vector machines are trained with the normalised data samples obtained from the features, and are used to classify falls based on the characteristics identified. …”
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Effect of geometric scaling on the microstructural development of selective laser melted metal parts by Ng, Angelin Shia Yin

“…This study discusses the effect of geometric scaling, delay time (i.e., the time it takes for the laser beam to jump from one scan vector to the adjacent scan vector, which is controlled by the jump speed), gas flow, and defocusing distance on microstructural development and mechanical properties of selective laser melted 316L stainless steel. 316L stainless steel has been used in various industries such as aerospace and petrochemical industries due to its superior properties such as very good corrosion resistance. …”
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Implementation of industry-standard functional coverage in UVM testbench for SoC level verification by Zhang, Shaoyan

“… (4) Completed power estimation for the whole MCU design (including time- based simulation and vector-less simulation) using Ansys Power Artist. …”
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Order estimation of high dimensional time series by Zeng, Shijia

“…Much research has focused on the problem of estimating the order of vector autoregressive (VAR) model and multivariate moving average (VMA) model. …”
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Arrhythmia warning algorithm by Tan, Calvin Jun Hao

“…This report presents a proposed ensemble model comprising convolutional neural network (CNN) and Support Vector Machine (SVM) to automate the identification of arrhythmias in ECG data. …”
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Data-driven fault diagnosis of power converter systems by Li, Han

“…By comparing the accuracy and diagnosis time of four different data-driven diagnostic methods, it is found that Random Vector Functional Link (RVFL) has the shortest diagnosis time and high accuracy, indicating that this method has the best effect on IGBT fault diagnosis in the face of sample imbalance.…”
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Work-leisure orientations of nascent professionals and entrepreneurs. by Lee, Samantha Yuan Zhen., Teo, Haw Yin., Lee, Wanpin.

“…To understand the work-leisure relationship, property vector fitting was used to map the leisure interests into a two-dimensional RIASEC circumplex. …”
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Feature selection methods for effective diagnosis of rotavirus infection: a comparative evaluation by Chau, V, Ngoc, DTT, My, PT, Baker, S, Pham, D, Rabaa, M, Le Thi, N

“…The study found that wrapper and embedding approaches outperform filter methods, notably for the Logistic Regression (LR) and Support Vector Machine (SVM) models, employing two machine learning models and the AUC measure. …”

Study of arbitrary waveform generation for software defined radio by Luo, Jia Yu.

“…Next, I shall provide the detailed steps of generating WiMAX signal using MATLAB and SMBV 100A Vector Signal Generator. The focus will be on the MATLAB algorithm. …”
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Recognizing tree diseases at a distance via image processing and computer vision by Chan, Zhi Xian.

“…To perform recognition, the features extracted from the training image are feed into Support Vector Machine for data classification. Based on the data classification, we would be able to see which type of trees diseases on highest accuracy.…”
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Smart computers : can you recognise these sounds? by Tan, Li Qing

“…The sound classification process will be trained using the Support Vector Machine and thereafter be tested in real time scenarios to see how accurately the program can predict a particular sound. …”
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Classification of helicopters for passive radar - theoretical studies and measurements by Qiao, Na

“…Using MatLab figure out these data get from vector network analyzer (VNA) into time-frequency micro-Doppler image to verify whether the previous theory method can establish. …”
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Commodity price prediction using neural networks by Seah, Isaac Zhe Hao

“…Furthermore, another form of supervised learning method: Support Vector Network(SVM), is briefly visited. Three different datasets, such as oil spot price and future contract prices, are utilized to analyse the effectiveness of the supervised learning models on various scenarios. …”
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A wedge of arbitrary angle interacting with a generalized singularity by Ma, L, Hills, DA

“…As an interaction example, the wedge interacting with an edge dislocation is considered, and the driving force on the dislocation is obtained in terms of the vector J-integral. The solutions developed in this study give basic information about the state of stress induced in the wedge, which, as well as representing crystalline defects, may be used as building blocks to model the damage at the V-notch root under complex load conditions, as well as to model elastic edge contacts. …”

Digital Anatomy : Applications of Virtual, Mixed and Augmented Reality / by Uhl, Jean-François, editor 643187, Jorge, J. A. (Joaquim Armando), editor 643188, Lopes, Daniel Simões, editor 643190, Campos, Pedro F., editor 643191

Metasurface-enabled broadband multidimensional photodetectors by Jiang, Hao, Chen, Yinzhu, Guo, Wenyu, Zhang, Yan, Zhou, Rigui, Gu, Mile, Zhong, Fan, Ni, Zhenhua, Lu, Junpeng, Qiu, Cheng-Wei, Gao, Weibo

“…The bipolar polarizability empowered by this design allows to decouple multidimensional information (encompassing polarization and wavelength), which can be achieved by encoding vectorial photocurrents with varying polarities and amplitudes. …”
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Persistent elevation of intrathecal pro-inflammatory cytokines leads to multiple sclerosis-like cortical demyelination and neurodegeneration by James, Rachel E., Schalks, Renee, Browne, Eleanor, Eleftheriadou, Ioanna, Munoz, Carmen Picon, Mazarakis, Nicholas D., Reynolds, Richard

“…PhosphoRIP3+ and phosphoMLKL+ neurons were present in TNF + IFNγ vector injected animals, indicating activation of necroptosis. …”
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