1 citations · 2 across the 3 of their papers we have counts for
5 papers
Parametric Information Maximization for Generalized Category Discovery
Florent Chiaroni, Jose Dolz, Ziko Imtiaz Masud +2
We introduce a Parametric Information Maximization (PIM) model for the Generalized Category Discovery (GCD) problem. Specifically, we propose a bi-level optimization formulation, w…
Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions
Florent Chiaroni, Malik Boudiaf, Amar Mitiche +1
We explore clustering the softmax predictions of deep neural networks and introduce a novel probabilistic clustering method, referred to as k-sBetas. In the general context of clus…
Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers
M. Abid, A. Khabou, Y. Ouakrim +5
Human activity recognition (HAR) by wearable sensor devices embedded in the Internet of things (IOT) can play a significant role in remote health monitoring and emergency notificat…
Bilinear Models for Machine Learning
Tayssir Doghri, Leszek Szczecinski, Jacob Benesty +1
In this work we define and analyze the bilinear models which replace the conventional linear operation used in many building blocks of machine learning (ML). The main idea is to de…
Deep clustering: On the link between discriminative models and K-means
Mohammed Jabi, Marco Pedersoli, Amar Mitiche +1
In the context of recent deep clustering studies, discriminative models dominate the literature and report the most competitive performances. These models learn a deep discriminati…