Results 11 to 20 of about 1,029,862 (299)
Transductive Multi-View Zero-Shot Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 Most existing zero-shot learning approaches exploit transfer learning via an intermediate-level semantic representation shared between an annotated auxiliary dataset and a target dataset with different classes and no annotation. A projection from a low-level feature space to the semantic representation space is learned from the auxiliary dataset and is
Yanwei Fu 0001 +3 more
openaire +7 more sources
Multi-View Reinforcement Learning [PDF]
CoRR, 2019 33rd Conference on Neural Information Processing Systems (NeurIPS 2019)
Minne Li +3 more
openaire +5 more sources
Multi-View Multi-Instance Learning Based on Joint Sparse Representation and Multi-View Dictionary Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 In multi-instance learning (MIL), the relations among instances in a bag convey important contextual information in many applications. Previous studies on MIL either ignore such relations or simply model them with a fixed graph structure so that the overall performance inevitably degrades in complex environments.
Bing Li 0001 +6 more
openaire +5 more sources
Reliable Conflictive Multi-View Learning [PDF]
Proceedings of the AAAI Conference on Artificial IntelligenceMulti-view learning aims to combine multiple features to achieve more comprehensive descriptions of data. Most previous works assume that multiple views are strictly aligned. However, real-world multi-view data may contain low-quality conflictive instances, which show conflictive information in different views.
Cai Xu +5 more
openaire +3 more sources
Contrastive and attentive graph learning for multi-view clustering [PDF]
, 2022 Graph-based multi-view clustering aims to take advantage of multiple view graph information to provide clustering solutions. The consistency constraint of multiple views is the key of multi-view graph clustering.
Li, Lin +4 more
core +1 more source
Implicit Weight Learning for Multi-View Clustering [PDF]
, 2023 Exploiting different representations, or views, of the same object for better clustering has become very popular these days, which is conventionally called multi-view clustering.
Feiping Nie +7 more
core +1 more source
Multi-view Metric Learning for Multi-view Video Summarization [PDF]
2016 International Conference on Cyberworlds (CW), 2016 Traditional methods on video summarization are designed to generate summaries for single-view video records, and thus they cannot fully exploit the mutual information in multi-view video records. In this paper, we present a multi-view metric learning framework for multi-view video summarization.
Linbo Wang 0001 +3 more
openaire +1 more source
Multi-view audio and music classification [PDF]
, 2021 We propose in this work a multi-view learning approach for audio and music classification. Considering four typical low-level representations (i.e. different views) commonly used for audio and music recognition tasks, the proposed multi-view network ...
Ian McLoughlin (10759890) +20 more
core +1 more source
Learning multi-view visual correspondences with self-supervision [PDF]
, 2022 Stereo-based 3D reconstruction requires to match features across images captured from slightly different viewing angles to recover 3D coordinates of the image pixels.
Zhang, Liang +6 more
core +1 more source
DeepMVS: Learning Multi-view Stereopsis [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 We present DeepMVS, a deep convolutional neural network (ConvNet) for multi-view stereo reconstruction. Taking an arbitrary number of posed images as input, we first produce a set of plane-sweep volumes and use the proposed DeepMVS network to predict high-quality disparity maps.
Po-Han Huang +4 more
openaire +2 more sources