Support vector machines, or SVMs, have become a really big deal in machine learning because of how good they are at classification and regression problems. This article explores in-depth knowledge about SVMs in ML alg...
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The proceedings contain 168 papers. The topics discussed include: design for ergonomics: application of single- passenger electric car via design of experiments;detection of breast cancer using machine learning and de...
ISBN:
(纸本)9781665467568
The proceedings contain 168 papers. The topics discussed include: design for ergonomics: application of single- passenger electric car via design of experiments;detection of breast cancer using machine learning and deep learning methods;automobile insurance fraud detection: an overview;a survey on detection of lung cancer using different image processing techniques;deep learning methods for automatic number plate recognition system: a review;skin cancer detection using machine learning: a survey;transforming education system through artificial intelligence and machine learning;model for retailers with price dependent demand rates;neuromarketing: an emerging domain in the formal education system;design of dual slot microstrip antenna for wireless application;analysis of ancillary services provided by distributed energy resources in smart distribution grid;and grey scale image skeletonization of vein pattern using Hausdroff image binarization technique in biometric security system.
Landscape expansion index (LEI) was an important research method to quantitatively describe and analyze the dynamic information in the process of landscape expansion. Aimed at solving the defects in the previous studi...
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The Thirdinternational Workshop on Human-Centric Multimedia Analysis concentrates on the tasks of human-centric analysis with multimedia and multimodal information. It involves multiple tasks such as face detection a...
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ISBN:
(纸本)9781450392037
The Thirdinternational Workshop on Human-Centric Multimedia Analysis concentrates on the tasks of human-centric analysis with multimedia and multimodal information. It involves multiple tasks such as face detection and recognition, human body pattern analysis, person re-identification, human action detection, etc. Today, multiple multimedia sensing technologies and large-scale computing infrastructures are emerging at a rapid velocity a wide variety of big multi-modality data for human-centric analysis, which provides rich knowledge to help tackle these challenges. Researchers have strived to push the limits of human-centric multimedia analysis in a wide variety of applications, such as intelligent surveillance, retailing, fashion design, and services. Therefore, this workshop aims to provide a platform to bridge the gap between the communities of human analysis and multimedia.
Tympanic temperature is one of the most fundamental indicators for the diagnosis of diseases. Due to its importance, using patients' temperature data to aid in the diagnostic process would be beneficial. This work...
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The proceedings contain 210 papers. The topics discussed include: research progress and prospects of intelligent planning algorithms in navigation collision avoidance;research on determining the end point of carbon kn...
ISBN:
(纸本)9781510668522
The proceedings contain 210 papers. The topics discussed include: research progress and prospects of intelligent planning algorithms in navigation collision avoidance;research on determining the end point of carbon kneading based on LSTM algorithm;pavement grade recognition algorithm based on sprung mass acceleration;research on distributed network information security diagnosis method based on matrix algorithm;two-dimensional array antenna directional pattern optimization method based on genetic simulated annealing algorithm;air defense target allocation based on improved genetic algorithm;research on visible and infrared binocular image fusion algorithm based on improved NSCT;study and application of migration technology in ground penetrating radar (GPR) data processing;load forecasting analysis based on the residential electricity consumption data;performance of BOK-MPSK chirp modulation for data transmission;and anomaly detection method of power purchase material data based on B IRCH clustering algorithm and time series.
Accurate multiple license plate detection without affecting speed, occlusion, low contrast and resolution, uneven illumination effect and poor quality is an open challenge. This study presents a new Robust Deep Model ...
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Urban travel data typically encompass various temporal and spatial scales and features. Nonetheless, existing traffic travel feature analysis often focuses on a single spatial scale, which may overlook crucial informa...
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Emotion recognition based on electroencephalogram (EEG) signals has become an important research field in recent years due to its application in human-computer interaction. Feature fusion is the solution strategy in m...
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Vehicle retrieval has become crucial for public transportation and intelligent transportation systems due to the exponential development of large-scale transportation videos. Vehicle re-identification and vehicle trac...
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