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Texture Features for Browsing and Retrieval of Image Data
TLDR
Comparisons with other multiresolution texture features using the Brodatz texture database indicate that the Gabor features provide the best pattern retrieval accuracy. Expand
Mining interesting locations and travel sequences from GPS trajectories
TLDR
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. Expand
GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory
TLDR
A social networking service, called GeoLife, is introduced, which aims to understand trajectories, locations and users, and mine the correlation between users and locations in terms of usergenerated GPS trajectories. Expand
A survey of content-based image retrieval with high-level semantics
TLDR
This paper attempts to provide a comprehensive survey of the recent technical achievements in high-level semantic-based image retrieval, identifying five major categories of the state-of-the-art techniques in narrowing down the 'semantic gap'. Expand
Understanding mobility based on GPS data
TLDR
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. Expand
VIPS: a Vision-based Page Segmentation Algorithm
TLDR
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. Expand
Collaborative Knowledge Base Embedding for Recommender Systems
TLDR
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. Expand
Dual Learning for Machine Translation
TLDR
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. Expand
Mining user similarity based on location history
TLDR
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. Expand
Topic Aware Neural Response Generation
TLDR
A topic aware sequence-to-sequence (TA-Seq2Seq) model that utilizes topics to simulate prior knowledge of human that guides them to form informative and interesting responses in conversation, and leverages the topic information in generation by a joint attention mechanism and a biased generation probability. Expand
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