Person Identification

Person identification encompasses a broad range of techniques aimed at recognizing and classifying individuals from various data sources, including images, videos, audio, and even physiological signals. Current research emphasizes robust methods for handling noisy or incomplete data, focusing on deep learning architectures like convolutional neural networks, recurrent neural networks, and graph neural networks, as well as optimization algorithms such as Bayesian optimization and projected gradient descent. These advancements have significant implications for applications such as security, healthcare, and human-computer interaction, improving accuracy and efficiency in tasks ranging from biometric authentication to personalized medicine.

Papers

March 25, 2023

Identification of Negative Transfers in Multitask Learning Using Surrogate Models
Dongyue Li, Huy L. Nguyen, Hongyang R. Zhang
Multi Task Learning Surrogate Model Person Identification Multitask Learning Task Similarity Negative Transfer

March 18, 2023

Identification of Novel Classes for Improving Few-Shot Object Detection
Zeyu Shangguan, Mohammad Rostami
Person Identification Object Detection Model Shot Object Detection Robust Object Detection Novel Class Ternary Neural Network

March 9, 2023

Identification of Systematic Errors of Image Classifiers on Rare Subgroups
Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua, Valentyn Boreiko, Dan Zhang
Adversarial Attack Person Identification Image Classifier Subgroup Discovery Multiple Classifier Systematic Error ImageNet Classifier

February 25, 2023

Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns
Victor Elijah Adeyemo, Anna Palczewska, Ben Jones, Dan Weaving
Person Identification Motion Pattern Pattern Mining Football Player Player Movement

February 24, 2023

Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning
Rui Miao, Zhengling Qi, Cong Shi, Lin Lin
Estimation Task Person Identification Instrumental Variable Global Endogenous Variate Personalized Pricing

February 10, 2023

Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness
Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara
Person Identification Convergence Guarantee Instrumental Variable

February 7, 2023

VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of Spinal X-Ray
Yao Chen, Yuanhan Mo, Aimee Readie, Gregory Ligozio, Indrajeet Mandal, Faiz Jabbar, Thibaud Coroller, Bartlomiej W. Papiez
Person Identification Ensemble Method Human Skeleton Vertebra Segmentation Spinal X Ray Lumbar Spine

February 3, 2023

January 19, 2023

Identification, explanation and clinical evaluation of hospital patient subtypes
Enrico Werner, Jeffrey N. Clark, Ranjeet S. Bhamber, Michael Ambler, Christopher P. Bourdeaux, Alexander Hepburn, Christopher J. McWilliams, Raul Santos-Rodriguez
Machine Learning Line by Line Explanation Person Identification Clinical Assessment

January 13, 2023

Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning
Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi
Person Identification Risk Sensitive Worst Case Risk Preference Offline Safe Reinforcement Learning

January 2, 2023

Sparse neural networks with skip-connections for identification of aluminum electrolysis cell
Erlend Torje Berg Lundby, Haakon Robinsson, Adil Rasheed, Ivar Johan Halvorsen, Jan Tommy Gravdahl
Person Identification Sparse Neural Network Manufacturing System Nonlinear System Identification Sparse Input Modular Electrolysis Plant

January 1, 2023

Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques
Muhammad Suleman, Muhammad Asif, Tayyab Zamir, Ayaz Mehmood, Jebran Khan, Nasir Ahmad, Kashif Ahmad
Natural Language Processing Entity Recognition Person Identification Information Extraction Twitter Tweet Location Information

December 31, 2022

Identification of lung nodules CT scan using YOLOv5 based on convolution neural network
Haytham Al Ewaidat, Youness El Brag
Neural Network Person Identification Direct Convolution Fire YOLOv5 Attains Nodule Detection Lung Nodule Lung Nodule Localization

December 30, 2022

Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification
Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet, Gregorio Martínez Pérez
Machine Learning Adversarial Attack Person Identification Device Identification Device Fingerprinting Context Injection IoT Device Identification

December 7, 2022

Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology
Cameron Trotter, Nick Wright, A. Stephen McGough, Matt Sharpe, Barbara Cheney, Mònica Arso Civil, Reny Tyson Moore, Jason Allen, Per Berggren
LeArning Abstract Fine Grained New Framework Person Identification Seal Generation Marine Environment Dorsal Fin Capture Recapture

December 1, 2022

3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification
Jiazhao Zhang, Liu Dai, Fanpeng Meng, Qingnan Fan, Xuelin Chen, Kai Xu, He Wang
Person Identification Object Goal Navigation Based Exploration ObjectNav Performance Simultaneous Exploration

November 29, 2022

November 15, 2022

Identification of medical devices using machine learning on distribution feeder data for informing power outage response
Paraskevi Kourtza, Maitreyee Marathe, Anuj Shetty, Diego Kiedanski
Machine Learning Person Identification Distribution System Medical Device Climate Change Adaptation Power Outage

Person Identification

Papers

Identification of Negative Transfers in Multitask Learning Using Surrogate Models

Identification of Novel Classes for Improving Few-Shot Object Detection

Identification of Systematic Errors of Image Classifiers on Rare Subgroups

Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns

Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning

Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness

VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of Spinal X-Ray

Towards Few-Shot Identification of Morality Frames using In-Context Learning

A Novel Fuzzy Bi-Clustering Algorithm with AFS for Identification of Co-Regulated Genes

Identification, explanation and clinical evaluation of hospital patient subtypes

Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning

Sparse neural networks with skip-connections for identification of aluminum electrolysis cell

Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques

Identification of lung nodules CT scan using YOLOv5 based on convolution neural network

Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification

Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology

3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification

Identification of the Breach of Short-term Rental Regulations in Irish Rent Pressure Zones

Identification of Rare Cortical Folding Patterns using Unsupervised Deep Learning

Identification of medical devices using machine learning on distribution feeder data for informing power outage response