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由 NJ Cho 著作2016被引用 3 次 — To model manipulation tasks, we propose a novel method for learning manipulation skills based on the degree of motion granularity.

有關 Modeling and evaluating Gaussian mixture model based on motion granularity 的學術文章
… Gaussian mixture model based on motion granularity - ‎Cho - 3 個引述

Modeling and evaluating Gaussian mixture model based on ...

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To model manipulation tasks, we propose a novel method for learning manipulation skills based on the degree of motion granularity.

Modeling and evaluating Gaussian mixture model based on motion ...

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Author: 서일홍 ; Keywords: Motion granularity; Gaussian mixture model; Weighted k-means; Weighted EM ; Issue Date: 2016-01 ; Publisher: SPRINGER HEIDELBERG.

SPISR: Vol 9, No 2

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Modeling and evaluating Gaussian mixture model based on motion granularity · Author Picture Nam Jun Cho,; Author Picture Sang Hyoung Lee,; + 1. Pages 123–139 ...

Visual tracking using spatially weighted likelihood of ...

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由 V Karavasilis 著作2015被引用 15 次 — A probabilistic real time tracking algorithm is proposed where the target's feature distribution is represented by a Gaussian mixture model (GMM).

Nam Jun Cho - Google 학술 검색

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Modeling and evaluating Gaussian mixture model based on motion granularity. NJ Cho, SH Lee, IH Suh. Intelligent Service Robotics 9, 123-139, 2016. 3, 2016.

Three degrees of motion granularity calculated from the ...

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To model manipulation tasks, we propose a novel method for learning manipulation skills based on the degree of motion granularity. Even though manipulation ...

GMMFormer: Gaussian-Mixture-Model Based Transformer ...

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由 Y Wang 著作2024被引用 2 次 — During frame interactions, we incorporate Gaussian-Mixture-. Model constraints to focus each frame on its adjacent frames instead of the whole video. Then ...