Flexible online multi-modal hashing for large-scale multimedia retrieval
Multi-modal hashing fuses multi-modal features at both offline training and online query
stage for compact binary hash learning. It has aroused extensive attention in research filed …
stage for compact binary hash learning. It has aroused extensive attention in research filed …
Robust face recognition via adaptive sparse representation
Sparse representation (or coding)-based classification (SRC) has gained great success in
face recognition in recent years. However, SRC emphasizes the sparsity too much and …
face recognition in recent years. However, SRC emphasizes the sparsity too much and …
Low rank component induced spatial-spectral kernel method for hyperspectral image classification
Kernel methods, eg, composite kernels (CKs) and spatial-spectral kernels (SSKs), have
been demonstrated to be an effective way to exploit the spatial-spectral information …
been demonstrated to be an effective way to exploit the spatial-spectral information …
Single image dehazing with a physical model and dark channel prior
We propose a single image dehazing method that is based on a physical model and the
dark channel prior principle. The selection of an atmospheric light value is directly …
dark channel prior principle. The selection of an atmospheric light value is directly …
Social-enhanced attentive group recommendation
With the proliferation of social networks, group activities have become an essential
ingredient of our daily life. A growing number of users share their group activities online and …
ingredient of our daily life. A growing number of users share their group activities online and …
User diverse preference modeling by multimodal attentive metric learning
Most existing recommender systems represent a user's preference with a feature vector,
which is assumed to be fixed when predicting this user's preferences for different items …
which is assumed to be fixed when predicting this user's preferences for different items …
An overview of partial 3D object retrieval methodologies
This work offers an overview of the state-of-the-art on the emerging area of 3D object
retrieval based on partial queries. This research area is associated with several application …
retrieval based on partial queries. This research area is associated with several application …
Discriminative feature and dictionary learning with part-aware model for vehicle re-identification
H Wang, J Peng, G Jiang, F Xu, X Fu - Neurocomputing, 2021 - Elsevier
With the development of smart cities, urban surveillance video analysis plays a further
significant role in intelligent transportation systems. Vehicle re-identification (re-ID) aims at …
significant role in intelligent transportation systems. Vehicle re-identification (re-ID) aims at …
The role of refactorings in API evolution
D Dig, R Johnson - 21st IEEE International Conference on …, 2005 - ieeexplore.ieee.org
Frameworks and libraries change their APIs. Migrating an application to the new API is
tedious and disrupts the development process. Although some tools and ideas have been …
tedious and disrupts the development process. Although some tools and ideas have been …
Online feature selection with group structure analysis
Online selection of dynamic features has attracted intensive interest in recent years.
However, existing online feature selection methods evaluate features individually and …
However, existing online feature selection methods evaluate features individually and …