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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 28 / No. 1: Twenty-Eighth AAAI Conference On Artificial Intelligence

Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning

March 8, 2023

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Authors

Le Shu

Temple University


Tianyang Ma

Temple University


Longin Jan Latecki

Temple University


DOI:

10.1609/aaai.v28i1.9000


Abstract:

In many practical cases, we need to generalize a model trained in a source domain to a new target domain.However, the distribution of these two domains may differ very significantly, especially sometimes some crucial target features may not have support in the source domain.This paper proposes a novel locality preserving projection method for domain adaptation task,which can find a linear mapping preserving the 'intrinsic structure' for both source and target domains.We first construct two graphs encoding the neighborhood information for source and target domains separately.We then find linear projection coefficients which have the property of locality preserving for each graph.Instead of combing the two objective terms under compatibility assumption and requiring the user to decide the importance of each objective function,we propose a multi-objective formulation for this problem and solve it simultaneously using Pareto optimization.The Pareto frontier captures all possible good linear projection coefficients that are preferred by one or more objectives.The effectiveness of our approach is justified by both theoretical analysis and empirical results on real world data sets.The new feature representation shows better prediction accuracy as our experiments demonstrate.

Topics: AAAI

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HOW TO CITE:

Le Shu|| Tianyang Ma|| Longin Jan Latecki Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning Proceedings of the AAAI Conference on Artificial Intelligence, 28 (2014) .

Le Shu|| Tianyang Ma|| Longin Jan Latecki Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning AAAI 2014, .

Le Shu|| Tianyang Ma|| Longin Jan Latecki (2014). Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 28, .

Le Shu|| Tianyang Ma|| Longin Jan Latecki. Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 28 2014 p..

Le Shu|| Tianyang Ma|| Longin Jan Latecki. 2014. Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning. "Proceedings of the AAAI Conference on Artificial Intelligence, 28". .

Le Shu|| Tianyang Ma|| Longin Jan Latecki. (2014) "Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning", Proceedings of the AAAI Conference on Artificial Intelligence, 28, p.

Le Shu|| Tianyang Ma|| Longin Jan Latecki, "Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning", AAAI, p., 2014.

Le Shu|| Tianyang Ma|| Longin Jan Latecki. "Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning". Proceedings of the AAAI Conference on Artificial Intelligence, 28, 2014, p..

Le Shu|| Tianyang Ma|| Longin Jan Latecki. "Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning". Proceedings of the AAAI Conference on Artificial Intelligence, 28, (2014): .

Le Shu|| Tianyang Ma|| Longin Jan Latecki. Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning. AAAI[Internet]. 2014[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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