Latest Articles for Feature Extraction

Discover how SDF2Net improves PolSAR image analysis and classification accuracy.

This study assesses surrogate models for efficiency and accuracy in optimization tasks.

A new system creates detailed 3D human models from fewer 2D pictures.

Introducing a method to enhance image search using different model types.

DEXTER improves safety for AI by enhancing out-of-distribution detection.

PrintListener exposes vulnerabilities in fingerprint authentication through sound analysis.

CLIMBER offers efficient and accurate similarity searches in large data series.

A new method enhances 3D model accuracy using multiple viewpoints.

TROT improves accuracy in recognizing human activities by leveraging temporal relationships.

Examining the limitations of Fréchet Video Distance in video quality evaluation.

A quick method to create 3D models from just six photos, ideal for vehicles.

A new approach improves detection and reduces false positives in prostate cancer.

Exploring how signal processing enhances machine learning capabilities in various fields.

A new machine learning approach improves accuracy in analyzing shoeprint impressions.

Research identifies and classifies Sorani Kurdish dialects using extensive audio recordings.

An overview of NMF and its applications in simplifying complex data.

A new framework enhances person recognition across diverse input types.

A new model enhances image retrieval for breast histopathology diagnosis.

A tool to generate and analyze synthetic sparse tensors in various fields.

A new method enhances data handling in AI applications, focusing on feature extraction.

A new method enhances ADHD detection using selective EEG channels.

A new method enhances fruit maturity classification using hyperspectral imaging technology.

A new method for better recognizing small items in computer vision.

Machine learning combines slide images and gene expression for improved disease understanding.

FAITH model improves predictions by separating trends and seasonal patterns in time series data.

A new model improves image labeling using multiple data sources.

Automatic feature extraction transforms data analysis at particle colliders.

A study explores how AI can better predict outcomes for glioblastoma patients.

A new framework improves galaxy classification accuracy and efficiency.

GenWarp generates new views from single images while preserving essential details.

A new method improves 3D images by removing moving distractions.

Federated and transfer learning enhance efficiency and accuracy in cancer detection.

Introducing a flexible method for pixel-level anomaly detection in computer vision.

Study finds simple features largely explain LLM brain scores.

Using deep learning to enhance acoustic emission monitoring of bolted joints.

A new approach to ensure fairness in cognitive diagnosis using sensitive information.

ADEP aims to improve safety by predicting adverse effects from multiple medications.

Innovative strategies enhance material predictions using machine learning surrogates.

New methods improve how machines recognize emotions in human speech.

New methods enhance image recognition for identifying people across different environments.