This book presents the latest research on computer recognition systems. Over the last few years, computer scientists, engineers and users have been confronted with rapid changes in computer interfaces and in the abilities of the machines and the services available. And this is just the beginning: based on recent research findings, we can expect more significant advances and challenges in the next decade. Achievements in the area of artificial intelligence have made an important major contribution to these developments: Machine learning, natural language processing, speech recognition, image and video processing are just some of the major research and engineering directions that have made autonomous driving, language assistants, automatic translation and answering systems as well as other innovative applications such as more human-oriented interfaces possible. Those developments also reflect economic changes in the world, which are increasingly dominated by the needs of enhanced globalization, international cooperation (including its competitive aspects) and emerging global problems.
表中的内容
Chapter 1: Dual Increment Shapelets: A Scalable Shapelet Discovery for Time Series Classification.- Chapter 2: Analyzing and visualizing anomalies and events in time series of network traffic.- Chapter 3: The Grid-Based Spatial ARIMA Model: An Innovation for Short-Term Prediction of Ocean Current Patterns with Big HF Radar Data.- Chapter 4: Parameter-Free Outlier Scoring Algorithm Using the Acute Angle Order Difference Distance.- Chapter 5: Improved Weighted Least Square Radiometric Calibration Based Noise and Outlier Rejection by Adjacent Comparagraph and Brightness Transfer Function.- Chapter 6: Fuzzy TF-IDF Weighting in Synonym for Diabetes Question and Answers.- Chapter 7: Feature Comparison for Automatic Bug Report Classification.- Chapter 8: Instance-based Learning for Blood Vessel Segmentation in Retinal Images.- Chapter 9: Secure Electronic Health Records using Combinational Approaches.- Chapter 10: Hiding Patient Injury Information in Medical Images with QR Code.
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