research
∙
04/17/2023
Implicit Bayes Adaptation: A Collaborative Transport Approach
The power and flexibility of Optimal Transport (OT) have pervaded a wide...
share
research
∙
10/02/2022
Fast OT for Latent Domain Adaptation
In this paper, we address the problem of unsupervised Domain Adaptation....
research
∙
04/26/2022
Information Fusion: Scaling Subspace-Driven Approaches
In this work, we seek to exploit the deep structure of multi-modal data ...
research
∙
02/25/2022
Refining Self-Supervised Learning in Imaging: Beyond Linear Metric
We introduce in this paper a new statistical perspective, exploiting the...
research
∙
04/21/2021
Deep Transform and Metric Learning Networks
Based on its great successes in inference and denosing tasks, Dictionary...
research
∙
04/10/2021
Latent Code-Based Fusion: A Volterra Neural Network Approach
We propose a deep structure encoder using the recently introduced Volter...
research
∙
06/18/2020
Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion
Robust Subspace Recovery (RoSuRe) algorithm was recently introduced as a...
research
∙
04/21/2020
Discovering Urban Functional Zones By Latent Fusion of Users GPS Data and Points of Interests
With rapid development of socio-economics, the task of discovering funct...
research
∙
02/18/2020
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks
On account of its many successes in inference tasks and denoising applic...
research
∙
10/21/2019
Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition
The importance of inference in Machine Learning (ML) has led to an explo...
research
∙
09/23/2019
Community Detection and Improved Detectability in Multiplex Networks
We investigate the widely encountered problem of detecting communities i...
research
∙
09/13/2019
Deep Adversarial Belief Networks
We present a novel adversarial framework for training deep belief networ...
research
∙
08/20/2019
Sparse Generative Adversarial Network
We propose a new approach to Generative Adversarial Networks (GANs) to a...
research
∙
06/13/2019
Joint Concept Matching based Learning for Zero-Shot Recognition
Zero-shot learning (ZSL) which aims to recognize unseen object classes b...
research
∙
06/13/2019
Joint Concept Matching-Space Projection Learning for Zero-Shot Recognition
Zero-shot learning (ZSL) has been widely researched and achieved a great...
research
∙
06/10/2019
Commuting Conditional GANs for Robust Multi-Modal Fusion
This paper presents a data driven approach to multi-modal fusion, where ...
research
∙
03/07/2019
Analysis Dictionary Learning: An Efficient and Discriminative Solution
Discriminative Dictionary Learning (DL) methods have been widely advocat...
research
∙
07/13/2018
Analysis Dictionary Learning based Classification: Structure for Robustness
A discriminative structured analysis dictionary is proposed for the clas...
research
∙
05/02/2018
Structured Analysis Dictionary Learning for Image Classification
We propose a computationally efficient and high-performance classificati...
research
∙
03/22/2018
Demystifying Deep Learning: A Geometric Approach to Iterative Projections
Parametric approaches to Learning, such as deep learning (DL), are highl...
research
∙
03/11/2018
Deep Dictionary Learning: A PARametric NETwork Approach
Deep dictionary learning seeks multiple dictionaries at different image ...
research
∙
11/15/2017
AOGNets: Deep AND-OR Grammar Networks for Visual Recognition
This paper presents a method of learning deep AND-OR Grammar (AOG) netwo...
research
∙
01/18/2017
First Study on Data Readiness Level
We introduce the idea of Data Readiness Level (DRL) to measure the relat...
research
∙
07/24/2016
Effective Connectivity-Based Neural Decoding: A Causal Interaction-Driven Approach
We propose a geometric model-free causality measurebased on multivariate...
research
∙
07/29/2011
