Results 281 to 290 of about 6,486,492 (310)

A dictionary learning approach to tracking

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
The problem of tracking people using multiple cameras is of much current interest as a means of providing cues for audiovisual blind source separation in dynamic environments. Here we investigate the use of one of the current state-of-the-art techniques in object recognition combined with one of the most popular methods of modelling object motion ...
Mark Barnard, Wenwu Wang 0001, Josef Kittler, Syed Mohsen Naqvi, Jonathon A. Chambers   +4 more
openaire   +2 more sources

Multimodal weighted dictionary learning

2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2016
Classical dictionary learning algorithms that rely on a single source of information have been successfully used for the discriminative tasks. However, exploiting multiple sources has demonstrated its effectiveness in solving challenging real-world situations. We propose a new framework for feature fusion to achieve better classification performance as
Ali Taalimi, Hesam Shams, Alireza Rahimpour, Rahman Khorsandi, Wei Wang 0063, Rui Guo, Hairong Qi 0001   +6 more
openaire   +1 more source

Coherence regularized dictionary learning

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
Sparse representations over redundant learned dictionaries have shown to produce high quality results in various image processing tasks. An important characteristic of a learned dictionary is the mutual coherence of dictionary that affects its generalization performance and the optimality of sparse codes generated from it.
Mansour Nejati, Shadrokh Samavi, S. M. Reza Soroushmehr, Kayvan Najarian   +3 more
openaire   +2 more sources

Hierarchical Sparse Dictionary Learning

2015
Sparse coding plays a key role in high dimensional data analysis. One critical challenge of sparse coding is to design a dictionary that is both adaptive to the training data and generalizable to unseen data of same type. In this paper, we propose a novel dictionary learning method to build an adaptive dictionary regularized by an a-priori over ...
Xiao Bian, Xia Ning, Geoff Jiang
openaire   +2 more sources

Domain Adaptive Dictionary Learning

2012
Many recent efforts have shown the effectiveness of dictionary learning methods in solving several computer vision problems. However, when designing dictionaries, training and testing domains may be different, due to different view points and illumination conditions. In this paper, we present a function learning framework for the task of transforming a
Qiang Qiu 0002, Vishal M. Patel, Pavan K. Turaga, Rama Chellappa   +3 more
openaire   +1 more source

Dictionary learning for image prediction

Journal of Visual Communication and Image Representation, 2013
We present a dictionary learning algorithm which is tailored to the block-based image prediction problem. More precisely, we learn two related sub-dictionaries A"c and A"t, the first one (A"c) for approximating known samples in a causal neighborhood of the block to be predicted and the other one (A"t) to approximate the block to be predicted. These two
Mehmet Türkan, Christine Guillemot
openaire   +2 more sources

When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition With Limited Data

IEEE Transactions on Neural Networks and Learning Systems, 2021
Hao Tang, Niculae Sebe, Hong Liu
exaly  

A novel dictionary learning named deep and shared dictionary learning for fault diagnosis

Mechanical Systems and Signal Processing, 2023
Guangming Dong
exaly  

Learning Dictionary for Visual Attention

Advances in Neural Information Processing Systems 36, 2023
Yingjie Liu, Xuan Liu, Hui Yu, Xuan Tang, Xian Wei   +4 more
openaire   +2 more sources

Structured discriminant analysis dictionary learning for pattern classification

Knowledge-Based Systems, 2021
Haishun Du
exaly