A fast and robust sparse approach for hyperspectral data classification using a few labeled samples
QS Ul Haq, L Tao, F Sun, S Yang - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
The classification of high-dimensional data with too few labeled samples is a major
challenge which is difficult to meet unless some special characteristics of the data can be …
challenge which is difficult to meet unless some special characteristics of the data can be …
LASSO based stimulus frequency recognition model for SSVEP BCIs
Steady-state visual evoked potential (SSVEP) has been increasingly used for the study of
brain–computer interface (BCI). How to recognize SSVEP with shorter time and lower error …
brain–computer interface (BCI). How to recognize SSVEP with shorter time and lower error …
[图书][B] Deep Learning for Hyperspectral Image Analysis and Classification
L Tao, A Mughees - 2021 - Springer
With the rapid development in the field of science and technology, the Hyperspectral Image
(HSI) analysis, being extensively broader and advanced technology, has acquired the wide …
(HSI) analysis, being extensively broader and advanced technology, has acquired the wide …
Sparse representation-based classification with two-dimensional dictionary optimization for motor imagery EEG pattern recognition
Background Sparse representation-based classification (SRC) has more advantages in
motor imagery EEG pattern recognition, and the quality of dictionary construction directly …
motor imagery EEG pattern recognition, and the quality of dictionary construction directly …
[PDF][PDF] The big australian speech corpus (the big asc)
Abstract Under an ARC Linkage Infrastructure, Equipment and Facilities (LIEF) grant,
speech science and technology experts from across Australia have joined forces to organise …
speech science and technology experts from across Australia have joined forces to organise …
An extended sparse classification framework for domain adaptation in video surveillance
Still-to-video face recognition (FR) systems used in video surveillance applications capture
facial trajectories across a network of distributed video cameras and compare them against …
facial trajectories across a network of distributed video cameras and compare them against …
A blueprint for a comprehensive Australian English auditory-visual speech corpus
Large auditory-visual (AV) speech corpora are the grist of modern research in speech
science, but no such corpus exists for Australian English. This is unfortunate, for speech …
science, but no such corpus exists for Australian English. This is unfortunate, for speech …
Nonparametric tensor dictionary learning with beta process priors
Nonparametric Bayesian techniques have been applied to one dimensional dictionary
learning using beta process for sparse representation. However, in real world, signals are …
learning using beta process for sparse representation. However, in real world, signals are …
Person-based video summarization and retrieval by tracking and clustering temporal face sequences
T Zhang, D Wen, X Ding - Imaging and Printing in a Web 2.0 …, 2013 - spiedigitallibrary.org
People are often the most important subjects in videos. It is highly desired to automatically
summarize the occurrences of different people in a large collection of video and quickly find …
summarize the occurrences of different people in a large collection of video and quickly find …
融合主题和视觉语义的图像自动标注方法
赵鹏， 王文彬， 朱伟伟 - 计算机辅助设计与图形学学报, 2013 - jcad.cn
为了减小图像语义检索过程中“语义鸿沟” 的影响, 提出融合主题和视觉语义的图像自动标注方法.
该方法先在训练集的文本空间中用概率潜在语义分析(PLSA) 模型拟合出主题集合; …
该方法先在训练集的文本空间中用概率潜在语义分析(PLSA) 模型拟合出主题集合; …