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Supervised hashing with kernels
Recent years have witnessed the growing popularity of hashing in large-scale vision problems. It has been shown that the hashing quality could be boosted by leveraging supervised information intoExpand
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Hashing with Graphs
Hashing is becoming increasingly popular for efficient nearest neighbor search in massive databases. However, learning short codes that yield good search performance is still a challenge. Moreover,Expand
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Semi-Supervised Hashing for Large-Scale Search
  • J. Wang, S. Kumar, S. Chang
  • Medicine, Computer Science
  • IEEE Transactions on Pattern Analysis and Machine…
  • 1 December 2012
Hashing-based approximate nearest neighbor (ANN) search in huge databases has become popular due to its computational and memory efficiency. The popular hashing methods, e.g., Locality SensitiveExpand
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Large-scale visual sentiment ontology and detectors using adjective noun pairs
We address the challenge of sentiment analysis from visual content. In contrast to existing methods which infer sentiment or emotion directly from visual low-level features, we propose a novelExpand
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Image Retrieval: Current Techniques, Promising Directions, and Open Issues
This paper provides a comprehensive survey of the technical achievements in the research area of image retrieval, especially content-based image retrieval, an area that has been so active andExpand
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VisualSEEk: a fully automated content-based image query system
We describe a highly functional prototype system for searching by visual features in an image database. The VisualSEEk system is novel in that the user forms the queries by diagramming spatialExpand
  • 2,102
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Semi-supervised hashing for scalable image retrieval
Large scale image search has recently attracted considerable attention due to easy availability of huge amounts of data. Several hashing methods have been proposed to allow approximate but highlyExpand
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Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
We address temporal action localization in untrimmed long videos. This is important because videos in real applications are usually unconstrained and contain multiple action instances plus videoExpand
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Large Graph Construction for Scalable Semi-Supervised Learning
In this paper, we address the scalability issue plaguing graph-based semi-supervised learning via a small number of anchor points which adequately cover the entire point cloud. Critically, theseExpand
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Spherical hashing
Many binary code encoding schemes based on hashing have been actively studied recently, since they can provide efficient similarity search, especially nearest neighbor search, and compact dataExpand
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