Content Based Feature

Content-based features, extracted from data such as text, images, or source code, are crucial for various machine learning tasks, aiming to represent the inherent information within the data for improved model performance. Current research focuses on developing effective feature extraction methods, often employing deep learning architectures like transformers and convolutional neural networks, and exploring techniques like feature embedding, selection, and disentanglement to enhance model accuracy and efficiency. These advancements have significant implications across diverse fields, improving applications ranging from fake news detection and medical image analysis to software defect prediction and video object segmentation.

Papers

March 25, 2023

Feature Embedding Clustering using POCS-based Clustering Algorithm
Le-Anh Tran, Dong-Chul Park
Clustering Method Content Based Feature Clustering Algorithm Fuzzy C Mean

February 6, 2023

Domain Adaptation for Time Series Under Feature and Label Shifts
Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik
Domain Adaptation Time Series Unsupervised Domain Adaptation Content Based Feature Label Shift Universal Domain Adaptation Complex Time Series Temporal Structure

January 30, 2023

Investigating Feature and Model Importance in Android Malware Detection: An Implemented Survey and Experimental Comparison of ML-Based Methods
Ali Muzaffar, Hani Ragab Hassen, Hind Zantout, Michael A Lones
Machine Learning Model Random Forest Content Based Feature Malware Attack High Detection Android Malware Experimental Comparison Model Importance

January 5, 2023

Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution
Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou
Self Attention Transformer Model Time Series Forecasting Complex Pattern Long Term Time Series Forecasting Content Based Feature Product Distribution

December 28, 2022

Mechanism of feature learning in deep fully connected networks and kernel machines that recursively learn features
Adityanarayanan Radhakrishnan, Daniel Beaglehole, Parthe Pandit, Mikhail Belkin
Network Programming Feature Wise Feature Learning Functional Mechanism Content Based Feature Kernel Machine Neural Feature Ansatz

December 16, 2022

Preventing RNN from Using Sequence Length as a Feature
Jean-Thomas Baillargeon, Hélène Cossette, Luc Lamontagne
Recurrent Neural Network Content Based Feature \Sigma}{\Delta}$ Low Pas RNN Long Document Classification Performance Sequence Length Decay Regularization

December 3, 2022

Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach
Haoxuan Wang, Junchi Yan
Simple Classifier Long Tailed Content Based Feature Long Tailed Learning ImageNet LT Exploratory Reformulation Class Weight Angle Prediction

November 15, 2022

SSM-Net: feature learning for Music Structure Analysis using a Self-Similarity-Matrix based loss
Geoffroy Peeters, Florian Angulo
Content Based Feature Interest Loss Deep Encoder Audio Feature Music Structure Analysis Self Similarity Matrix

November 14, 2022

Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning
Yi Liu, Song Guo, Jie Zhang, Qihua Zhou, Yingchun Wang, Xiaohan Zhao
Knowledge Distillation Self Supervised Learning Federated Learning Knowledge Transfer Content Based Feature Federated Self Supervised Learning

October 3, 2022

Feature Embedding by Template Matching as a ResNet Block
Ada Gorgun, Yeti Z. Gurbuz, A. Aydin Alatan
Image Classification Local Feature Content Based Feature Convolutional Block ResNet Model Local Global Feature Template Matching

September 28, 2022

Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition
Jingyun Jia, Philip K. Chan
Self Supervised Self Supervised Representation Learning Open Set Recognition Content Based Feature Self Supervised Approach Feature Decoupling

September 26, 2022

Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps
Kenneth Blomqvist, Lionel Ott, Jen Jen Chung, Roland Siegwart
Neural Radiance Field Segmentation Performance Feature Representation Segmentation Accuracy Content Based Feature Feature Map Volumetric Segmentation

September 20, 2022

Feature embedding in click-through rate prediction
Samo Pahor, Davorin Kopič, Jure Demšar
Matrix Factorization Click Through Rate Prediction Content Based Feature Augmented Data Neural Network Baseline

September 10, 2022

Extended Feature Space-Based Automatic Melanoma Detection System
Shakti Kumar, Anuj Kumar
Feature Extraction Automatic Detection Content Based Feature Melanoma Skin Cancer Melanoma Detection

September 8, 2022

Does Attention Mechanism Possess the Feature of Human Reading? A Perspective of Sentiment Classification Task
Lei Zhao, Yingyi Zhang, Chengzhi Zhang
Attention Mechanism Visual Perspective Eye Tracking Content Based Feature Sentiment Analysis Task Sentiment Word Attention Based Reasoning

August 4, 2022

MOVE: Effective and Harmless Ownership Verification via Embedded External Features
Yiming Li, Linghui Zhu, Xiaojun Jia, Yang Bai, Yong Jiang, Shu-Tao Xia, Xiaochun Cao
Content Based Feature Ownership Verification Model Stealing Model Protection Model Ownership Verification

July 11, 2022

Denoising single images by feature ensemble revisited
Masud An Nur Islam Fahim, Nazmus Saqib, Shafkat Khan Siam, Ho Yub Jung
Single Image Image Denoising Content Based Feature Better Approximation

June 10, 2022

Beyond the Gates of Euclidean Space: Temporal-Discrimination-Fusions and Attention-based Graph Neural Network for Human Activity Recognition
Nafees Ahmad, Savio Ho-Chit Chow, Ho-fung Leung
Graph Neural Network Activity Recognition Content Based Feature Graph Convolutional Neural Network Temporal Fusion Euclidean Space Graph Convolutional Attention Based Graph Neural Network

May 30, 2022

FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER
Ce Zheng, Matias Mendieta, Taojiannan Yang, Guo-Jun Qi, Chen Chen
Vision Transformer 3D Human Content Based Feature Human Reconstruction Human Mesh Reconstruction Feature Reconstruction Efficient Network

May 17, 2022

Semi-Supervised Building Footprint Generation with Feature and Output Consistency Training
Qingyu Li, Yilei Shi, Xiao Xiang Zhu
Convolutional Neural Network Content Based Feature Feature Map Consistency Training Footprint Extraction Building Footprint Building Footprint Extraction

Content Based Feature

Papers

Feature Embedding Clustering using POCS-based Clustering Algorithm

Domain Adaptation for Time Series Under Feature and Label Shifts

Investigating Feature and Model Importance in Android Malware Detection: An Implemented Survey and Experimental Comparison of ML-Based Methods

Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution

Mechanism of feature learning in deep fully connected networks and kernel machines that recursively learn features

Preventing RNN from Using Sequence Length as a Feature

Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach

SSM-Net: feature learning for Music Structure Analysis using a Self-Similarity-Matrix based loss

Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning

Feature Embedding by Template Matching as a ResNet Block

Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition

Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps

Feature embedding in click-through rate prediction

Extended Feature Space-Based Automatic Melanoma Detection System

Does Attention Mechanism Possess the Feature of Human Reading? A Perspective of Sentiment Classification Task

MOVE: Effective and Harmless Ownership Verification via Embedded External Features

Denoising single images by feature ensemble revisited

Beyond the Gates of Euclidean Space: Temporal-Discrimination-Fusions and Attention-based Graph Neural Network for Human Activity Recognition

FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER

Semi-Supervised Building Footprint Generation with Feature and Output Consistency Training