Unsupervised person Re-Identification (Re-ID) aims to mine discriminative representations from unlabeled data for person retrieval. Currently, unsupervised person Re-ID methods based on pseudo-labels

中国科学数据2026-01-19 更新90

Pairwise Learning Using Unsupervised Bottleneck Features For Zero-Resource Speech Challenge 2017 (System 2)

零资源语音处理

无监督特征学习

The system is for track1 alone. We trained an antoencoder using unsupervised bottleneck features with word-pair information from unsupervised term detection (UTD) only on the give ENGLISH corpus. The

Zenodo2017-06-15 更新40

Pairwise Learning using Unsupervised Bottleneck Features for Zero-Resource Speech Challenge 2017 (System 1)

零资源语音识别

无监督特征学习

The system is for track1 alone. We trained an antoencoder using unsupervised bottleneck features with word-pair information from Switchboard. The unsupervised bottleneck features was extracted from a

NIAID Data Ecosystem100

Pairwise Learning using Unsupervised Bottleneck Features for Zero-Resource Speech Challenge 2017 (System 2)

零资源语音处理

无监督特征学习

The system is for track1 alone. We trained an antoencoder using unsupervised bottleneck features with word-pair information from unsupervised term detection (UTD) only on the give ENGLISH corpus. The

NIAID Data Ecosystem60

ℓ0-GSNTD

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