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Texture Features for Browsing and Retrieval of Image Data
Comparisons with other multiresolution texture features using the Brodatz texture database indicate that the Gabor features provide the best pattern retrieval accuracy.
Mining interesting locations and travel sequences from GPS trajectories
This work first model multiple individuals' location histories with a tree-based hierarchical graph (TBHG), and proposes a HITS (Hypertext Induced Topic Search)-based inference model, which regards an individual's access on a location as a directed link from the user to that location.
Collaborative Knowledge Base Embedding for Recommender Systems
- Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, Wei-Ying Ma
- Computer ScienceKDD
- 13 August 2016
A heterogeneous network embedding method is adopted, termed as TransR, to extract items' structural representations by considering the heterogeneity of both nodes and relationships and a final integrated framework, which is termed as Collaborative Knowledge Base Embedding (CKE), to jointly learn the latent representations in collaborative filtering.
VIPS: a Vision-based Page Segmentation Algorithm
An automatic top-down, tag-tree independent approach to detect web content structure that simulates how a user understands web layout structure based on his visual perception.
GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory
A survey of content-based image retrieval with high-level semantics
Understanding mobility based on GPS data
An approach based on supervised learning to infer people's motion modes from their GPS logs is proposed, which identifies a set of sophisticated features, which are more robust to traffic condition than those other researchers ever used.
Dual Learning for Machine Translation
Experiments show that dual-NMT works very well on English ↔ French translation; especially, by learning from monolingual data, it achieves a comparable accuracy to NMT trained from the full bilingual data for the French-to-English translation task.
Mining user similarity based on location history
- Quannan Li, Yu Zheng, Xing Xie, Yukun Chen, Wenyu Liu, Wei-Ying Ma
- Computer ScienceGIS '08
- 5 November 2008
A framework, referred to as hierarchical-graph-based similarity measurement (HGSM), is proposed for geographic information systems to consistently model each individual's location history and effectively measure the similarity among users and outperforms related similarity measures, such as the cosine similarity and Pearson similarity measures.
Understanding transportation modes based on GPS data for web applications
This article reports on an approach based on supervised learning to automatically infer users' transportation modes, including driving, walking, taking a bus and riding a bike, from raw GPS logs, using a change point-based segmentation method and Decision Tree-based inference model.