Review of non-separable binary classification and its applications in anomaly detection
The inability to linearly XOR classify has motivated much of deep learning. We revisit this old problem and show that ...
Tag: Detection
Weekend AI Project: Object Detection with YOLO on PC and Raspberry Pi | by Dmitrii Eliuseev | Jul, 2024
How to run the latest YOLO v10 on different hardwareYOLO Object Detection, image by the authorComputer vision can be an ...
Large multimodal language models with low-rank adaptation fusion for device-directed speech detection
Although large language models (LLMs) have shown promise for human-like conversations, they are primarily trained on text data. Incorporating audio ...
Duplicate detection with GenAI. How using LLM and GenAI techniques can… | by Ian Ormesher | July 2024
How using LLM and GenAI techniques can improve deduplicationMusicbrainz UMAP 2D 200K Nearest Neighbor PlotCustomer data is typically stored as ...
Comparative Analysis of Customized Voice Activity Detection Systems: Evaluating Real-World Effectiveness
Voice activity detection (VAD) is a critical component in various applications, such as voice recognition, speaker identification, and hands-free communication ...
Multilingual RAG, Algorithmic Thinking, Outlier Detection and Other Problem Solving Highlights | by TDS Editors | June 2024
Feeling inspired to write your first TDS post? We are always open to contributions from new authors..When we think about ...
Evaluation of Time Series Anomaly Detection: Proximity-Aware Time Series Anomaly Evaluation (PATE)
Anomaly detection in time series data is a crucial task with applications in various domains, from monitoring industrial systems to ...
Interpretable Outlier Detection: Frequent Patterns Outlier Factor (FPOF) | by W Brett Kennedy | May, 2024
An outlier detector method that supports categorical data and provides explanations for the outliers flaggedOutlier detection is a common task ...
AI weapons detection company Evolv named Disney in its speech to New York
When New York City Mayor Eric Adams first met a representative from Evolv, the ai weapons detection company, he was ...
Improving Anomaly Detection with Adaptive Noise: A Pseudo-Anomaly Approach
Anomaly detection has gained ground in various fields, such as surveillance, medical analysis, and network security. Autoencoder (AE) models, which ...
Recommended.
