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01/01/2023
Yuille-Poggio's Flow and Global Minimizer of polynomials through convexification by Heat Evolution
In this paper, we investigate the possibility of the backward-differenti...
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10/11/2021
Time-varying Graph Learning Under Structured Temporal Priors
This paper endeavors to learn time-varying graphs by using structured te...
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09/14/2021
A Semantic Indexing Structure for Image Retrieval
In large-scale image retrieval, many indexing methods have been proposed...
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05/10/2021
Robust Graph Learning Under Wasserstein Uncertainty
Graphs are playing a crucial role in different fields since they are pow...
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05/04/2020
Learning Geo-Contextual Embeddings for Commuting Flow Prediction
Predicting commuting flows based on infrastructure and land-use informat...
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08/09/2019
Zero-shot Feature Selection via Exploiting Semantic Knowledge
Feature selection plays an important role in pattern recognition and mac...
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07/15/2019
Gradient Flow Based Discretized Kohn-Sham Density Functional Theory
In this paper, we propose and analyze a gradient flow based Kohn-Sham de...
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06/13/2019
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping
Many time-series classification problems involve developing metrics that...
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05/30/2019
Unsupervised Classification of Street Architectures Based on InfoGAN
Street architectures play an essential role in city image and streetscap...
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02/23/2019
A Deep, Information-theoretic Framework for Robust Biometric Recognition
Deep neural networks (DNN) have been a de facto standard for nowadays bi...
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05/20/2016