Publications related to Pattern recognition

Unlabeled Principal Component Analysis and Matrix Completion

We introduce robust principal component analysis from a data matrix in which the entries of its columns have been corrupted by permutations, termed Unlabeled Principal Component Analysis (UPCA). Using algebraic geometry, we establish that UPCA is a well-de ...

Microtome Publ2024

PRO-Face C: Privacy-Preserving Recognition of Obfuscated Face via Feature Compensation

Touradj Ebrahimi, Lin Yuan, Xiao Pu, Yao Zhang, Hongbo Li

The advancement of face recognition technology has delivered substantial societal advantages. However, it has also raised global privacy concerns due to the ubiquitous collection and potential misuse of individuals' facial data. This presents a notable par ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Sabine Süsstrunk, Mathieu Salzmann, Tong Zhang, Yi Wu

In the realm of point cloud scene understanding, particularly in indoor scenes, objects are arranged following human habits, resulting in objects of certain semantics being closely positioned and displaying notable inter-object correlations. This can creat ...

2024

Post-correction of Historical Text Transcripts with Large Language Models: An Exploratory Study

Frédéric Kaplan, Maud Ehrmann, Matteo Romanello, Sven-Nicolas Yoann Najem, Emanuela Boros

The quality of automatic transcription of heritage documents, whether from printed, manuscripts or audio sources, has a decisive impact on the ability to search and process historical texts. Although significant progress has been made in text recognition ( ...

The Association for Computational Linguistics2024

Boosting likelihood learning with event reweighting

Andrea Wulzer, Alfredo Glioti, Siyu Chen

Extracting maximal information from experimental data requires access to the likelihood function, which however is never directly available for complex experiments like those performed at high energy colliders. Theoretical predictions are obtained in this ...

Springer2024

Explainable Face Verification via Feature-Guided Gradient Backpropagation

Touradj Ebrahimi, Yuhang Lu, Zewei Xu

Recent years have witnessed significant advance- ment in face recognition (FR) techniques, with their applications widely spread in people’s lives and security-sensitive areas. There is a growing need for reliable interpretations of decisions of such syste ...

2024

Vibrio cholerae pathogenicity island 2 encodes two distinct types of restriction systems

Melanie Blokesch, David William Adams, Alexandre Lemopoulos, Grazia Vizzarro

In response to predation by bacteriophages and invasion by other mobile genetic elements such as plasmids, bacteria have evolved specialised defence systems that are often clustered together on genomic islands. The O1 El Tor strains of Vibrio cholerae resp ...

2024

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Vinitra Swamy, Paola Mejia Domenzain, Julian Thomas Blackwell, Isadora Alves de Salles

Clustering in education, particularly in large-scale online environments like MOOCs, is essential for understanding and adapting to diverse student needs. However, the effectiveness of clustering depends on its interpretability, which becomes challenging w ...

2024

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Pattern recognition

Unlabeled Principal Component Analysis and Matrix Completion

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

PRO-Face C: Privacy-Preserving Recognition of Obfuscated Face via Feature Compensation

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Post-correction of Historical Text Transcripts with Large Language Models: An Exploratory Study

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Boosting likelihood learning with event reweighting

Explainable Face Verification via Feature-Guided Gradient Backpropagation

Vibrio cholerae pathogenicity island 2 encodes two distinct types of restriction systems

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Graph Chatbot

Chat with Graph Search

Explainable Face Verification via Feature-Guided Gradient Backpropagation

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Post-correction of Historical Text Transcripts with Large Language Models: An Exploratory Study

PRO-Face C: Privacy-Preserving Recognition of Obfuscated Face via Feature Compensation

Boosting likelihood learning with event reweighting

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Unlabeled Principal Component Analysis and Matrix Completion

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Vibrio cholerae pathogenicity island 2 encodes two distinct types of restriction systems