Search Results for author: Katsuya Hotta

Found 3 papers, 0 papers with code

Subspace-Guided Feature Reconstruction for Unsupervised Anomaly Localization

no code implementations25 Sep 2023 Katsuya Hotta, Chao Zhang, Yoshihiro Hagihara, Takuya Akashi

In this paper, we propose a novel subspace-guided feature reconstruction framework to pursue adaptive feature approximation for anomaly localization.

PMSSC: Parallelizable multi-subset based self-expressive model for subspace clustering

no code implementations24 Nov 2021 Katsuya Hotta, Takuya Akashi, Shogo Tokai, Chao Zhang

Subspace clustering methods which embrace a self-expressive model that represents each data point as a linear combination of other data points in the dataset provide powerful unsupervised learning techniques.

Clustering

G2MF-WA: Geometric Multi-Model Fitting with Weakly Annotated Data

no code implementations20 Jan 2020 Chao Zhang, Xuequan Lu, Katsuya Hotta, Xi Yang

The WA data can be naturally obtained in an interactive way for specific tasks, for example, in the case of homography estimation, one can easily annotate points on the same plane/object with a single label by observing the image.

Homography Estimation

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