Cluster Canonical Correlation Analysis
By Nikhil Rasiwasia, Dhruv Kumar Mahajan, Vijay Mahadevan, Gaurav Aggarwal. 2014
170 citations recorded by the source corpus.
Subfields: Representation & Self-Supervised Learning, Statistical Learning Theory
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Representation & Self-Supervised Learning
- Giovanni Maria Farinella
- Antonino Furnari
- Carl Vondrick
- Antonio Torralba
- Hamed Pirsiavash
- Yusuf Aytar
- Lluís Castrejón
- Kristen Grauman
In Statistical Learning Theory
- Liang Wang
- Shuicheng Yan
- Yuxin Peng
- Antonio Torralba
- Carl Vondrick
- Hamed Pirsiavash
- Michael Kwok-Po Ng
- Canyi Lu
Citations in the corpus
- Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100 (2020, methodology): “mAP has been used in other retrieval works [98,100,101,102], yet it only considers relevance between items to be binary.”
- An Overview of Cross-Media Retrieval: Concepts, Methodologies, Benchmarks, and Challenges (2017, background): “For example, a graph indicating the similarities of MMDs plays an important role in [4] and [23], and the cross-media retrieval is based on MMD affinities in this graph.”
- Cross-Modal Scene Networks (2016, methodology): “On the other hand, Generalized CCA [17] does work for multiple modalities but still requires sample-level alignments.”
- Learning Aligned Cross-Modal Representations from Weakly Aligned Data (2016, unknown): “On the other hand, Generalized CCA [17] does work for multiple modalities but still requires sample-level alignments.”
- A Survey on Multi-View Clustering (2017, unknown): “[11] has proposed two solutions with CCA: mean-CCA and clusterCCA.”
- Cross-Modal Retrieval With CNN Visual Features: A New Baseline (2017, background): “Recently, based on CCA, many extensions [5], [13], [38], [39], [42], [56] are applied to crossmodal retrieval.”
- Robust Unsupervised Cross-modal Hashing for Multimedia Retrieval (2020, methodology): “[26] employed the canonical correlation analysis to conduct hash function learning, which is a special case of CVH.”
- A Comprehensive Survey on Cross-modal Retrieval (2016, methodology): “Rasiwasia et al. [50] present cluster canonical correlation analysis (cluster-CCA) for joint dimensionality reduction of two modalities of data.”