Search
Search Results
-
A detailed library perspective on nearly unsupervised information extraction workflows in digital libraries
Information extraction can support novel and effective access paths for digital libraries. Nevertheless, designing reliable extraction workflows can...
-
DetailPoint: detailed feature learning on point clouds with attention mechanism
Point cloud analysis is an important part of 3D geometric processing. It has been widely used in many fields, such as automatic driving and robots....
-
A detailed review on word embedding techniques with emphasis on word2vec
Text data has been growing drastically in the present day because of digitalization. The Internet, being flooded with millions of documents every...
-
Multi-modal Feature Guided Detailed 3D Face Reconstruction from a Single Image
Reconstructing a 3D face model with high-quality geometry and texture from a single face image is ill-conditioned and challenging. On the one hand,...
-
Detailed parallel social modeling for the analysis of COVID-19 spread
Agent-based epidemiological simulators have been proven to be one of the most successful tools for the analysis of COVID-19 propagation. The ability...
-
A large-scale television advertising dataset for detailed impression analysis
Creating impressive video content such as movies and advertisements is a very important yet challenging task in business that requires both a sense...
-
Video summarization using deep learning techniques: a detailed analysis and investigation
One of the critical multimedia analysis problems in today’s digital world is video summarization (VS). Many VS methods have been suggested based on...
-
Diabetes Prediction Using Machine Learning: A Detailed Insight
Diabetes often referred to as Diabetes mellitus is a general, continuing and deadly syndrome occurring all over the world. It is characterized by...
-
From methods to datasets: a detailed study on facial emotion recognition
Human ideas and sentiments are mirrored in facial expressions. Facial expression recognition (FER) is a crucial type of visual data that can be...
-
TGLC: Visual object tracking by fusion of global-local information and channel information
Visual object tracking aspires to locate the target incessantly in each frame with designated initial target location, which is an imperative yet...
-
A system review on bootstrap** information extraction
Focusing on the supervision problems caused by high-cost and low-quality labeling in information extraction, we provided a detailed overview of the...
-
Clinical Information Retrieval: A Literature Review
Clinical information retrieval (IR) plays a vital role in modern healthcare by facilitating efficient access and analysis of medical literature for...
-
Adaptive multi-information distillation network for image dehazing
Image dehazing is a challenging low-level vision task that estimates potentially haze-free images from hazy images. In recent years, convolutional...
-
A Detailed Analysis of Fiat-Shamir with Aborts
Lyubashevky’s signatures are based on the Fiat-Shamir with Aborts paradigm. It transforms an interactive identification protocol that has a...
-
Multiple layer digital wayfinding information: A study of user preferences for information content and design in wayfinding applications
Wayfinding applications on mobile devices are gradually becoming efficient in delivering environmental information. These applications provide a...
-
Image Contour Detection Based on Visual Pathway Information Transfer Mechanism
Based on the coding mechanism and interactive features of visual information in the visual pathway, a new method of image contour detection is...
-
Information Security
In an era marked by digital interconnection, the importance of information security cannot be overstated. This chapter delves into the realm of...
-
Multi-scale information fusion generative adversarial network for real-world noisy image denoising
Image denoising is crucial for enhancing image quality, improving visual effects, and boosting the accuracy of image analysis and recognition. Most...
-
FIFAWC: a dataset with detailed annotation and rich semantics for group activity recognition
In this letter, we propose the FIFAWC dataset for GAR, offering unique features compared to existing ones. FIFAWC is meticulously annotated with all...
-
Detailed Analysis of Pedestrian Activity Recognition in Pedestrian Zones Using 3D Skeleton Joints Using LSTM
As autonomous driving technology is develo** rapidly, demands for pedestrian safety, intelligence, and stability are increasing. In this situation,...
