Search Results for author: Masanari Kimura

Found 16 papers, 5 papers with code

Information Geometrically Generalized Covariate Shift Adaptation

1 code implementation19 Apr 2023 Masanari Kimura, Hideitsu Hino

In particular, the phenomenon that the marginal distribution of the data changes is called covariate shift, one of the most important research topics in machine learning.

Generalization Bounds for Set-to-Set Matching with Negative Sampling

no code implementations25 Feb 2023 Masanari Kimura

The problem of matching two sets of multiple elements, namely set-to-set matching, has received a great deal of attention in recent years.

Generalization Bounds set matching

Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding

no code implementations28 Oct 2022 Ryotaro Shimizu, Masanari Kimura, Masayuki Goto

Several techniques to map various types of components, such as words, attributes, and images, into the embedded space have been studied.

Image Retrieval Retrieval

Information Geometry of Dropout Training

no code implementations22 Jun 2022 Masanari Kimura, Hideitsu Hino

Dropout is one of the most popular regularization techniques in neural network training.

GRASP EARTH: Intuitive Software for Discovering Changes on the Planet

no code implementations2 Mar 2022 Waku Hatakeyama, Shirou Kawakita, Ryohei Izawa, Masanari Kimura

Detecting changes on the Earth, such as urban development, deforestation, or natural disaster, is one of the research fields that is attracting a great deal of attention.

Change Detection

SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts

2 code implementations30 Aug 2021 Masanari Kimura, Takuma Nakamura, Yuki Saito

This paper addresses the problem of set-to-set matching, which involves matching two different sets of items based on some criteria, especially in the case of high-dimensional items like images.

BIG-bench Machine Learning set matching

$α$-Geodesical Skew Divergence

1 code implementation31 Mar 2021 Masanari Kimura, Hideitsu Hino

The asymmetric skew divergence smooths one of the distributions by mixing it, to a degree determined by the parameter $\lambda$, with the other distribution.

Large-Scale Landslides Detection from Satellite Images with Incomplete Labels

no code implementations16 Oct 2019 Masanari Kimura

Earthquakes and tropical cyclones cause the suffering of millions of people around the world every year.

New Perspective of Interpretability of Deep Neural Networks

no code implementations12 Sep 2019 Masanari Kimura, Masayuki Tanaka

Improving the interpretability of DNNs is one of the hot research topics.

Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks

no code implementations30 Apr 2019 Masanari Kimura, Masayuki Tanaka

To tackle this problem, we exploit a multi-channel attention mechanism in feature space.

Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data

no code implementations3 Jul 2018 Masanari Kimura, Takashi Yanagihara

The proposed method detects pixel-level micro anomalies with a high accuracy from 1024x1024 high resolution images which are actually used in an industrial scene.

Unsupervised Anomaly Detection

Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms

1 code implementation18 Feb 2018 Kento Nozawa, Masanari Kimura, Atsunori Kanemura

Embedding graph nodes into a vector space can allow the use of machine learning to e. g. predict node classes, but the study of node embedding algorithms is immature compared to the natural language processing field because of a diverse nature of graphs.

BIG-bench Machine Learning Classification +1

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