Learning Cross Space Mapping via DNN Using Large Scale Click-Through Logs
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- Type
- article
- Published
- 2015-09-22
- Cited by
- 10
- References
- 33
- Access
- Open access
- OpenAlex
- https://openalex.org/W1942269744
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:26125818
Keywords
Computer science, Convolutional neural network, Similarity (geometry), Image retrieval, Pattern recognition (psychology)
References
- Multimodal learning with deep Boltzmann machines
- Mining Latent Attributes From Click-Through Logs for Image Recognition
- Learning Fine-Grained Image Similarity with Deep Ranking
- Boosting Image Retrieval
- Annotating images and image objects using a hierarchical dirichlet process model
- Automatic Image Dataset Construction from Click-through Logs Using Deep Neural Network
- Mining Compact Bag-of-Patterns for Low Bit Rate Mobile Visual Search
- Clickage: towards bridging semantic and intent gaps via mining click logs of search engines
- FaceNet: A unified embedding for face recognition and clustering
- Towards semantic knowledge propagation from text corpus to web images
- Image search—from thousands to billions in 20 years
- ImageNet: A large-scale hierarchical image database
- A unified architecture for natural language processing: deep neural networks with multitask learning
- DeViSE: A Deep Visual-Semantic Embedding Model
- PLSA-based image auto-annotation: constraining the latent space
- Formulating semantic image annotation as a supervised learning problem
- Image search by graph-based label propagation with image representation from DNN
- Backpropagation Applied to Handwritten Zip Code Recognition
- AnnoSearch: Image Auto-Annotation by Search
- A Discriminative Kernel-Based Approach to Rank Images from Text Queries
Cited by
- Cross-media Relevance Computation for Multimedia Retrieval
- Automatic Data Augmentation from Massive Web Images for Deep Visual Recognition
- A Survey of Multi-View Representation Learning
- Cross-Media Similarity Evaluation for Web Image Retrieval in the Wild
- Multi-View Fuzzy Representation Learning With Rules Based Model
- A Novel Riemannian Sparse Representation Learning Network for Polarimetric SAR Image Classification
- Towards Micro-video Thumbnail Selection via a Multi-label Visual-semantic Embedding Model
- Automatic Data Augmentation from Massive Web Images 1 for Deep Visual Recognition 2
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