Frank Ong,Michael Lustig
Frank Ong
We present a natural generalization of the recent low rank + sparse matrix decomposition and consider the decomposition of matrices into components of multiple scales. Such decomposition is well motivated in practice as data matrices often ...
Weiyu Huang,Leah Goldsberry,Nicholas F Wymbs et al.
Weiyu Huang et al.
This paper presents methods to analyze functional brain networks and signals from graph spectral perspectives. The notion of frequency and filters traditionally defined for signals supported on regular domains such as discrete time and imag...
Discovering Multidimensional Motifs in Physiological Signals for Personalized Healthcare [0.03%]
用于个性化医疗的生理信号多维母题的挖掘
Arvind Balasubramanian,Jun Wang,Balakrishnan Prabhakaran
Arvind Balasubramanian
Personalized diagnosis and therapy requires monitoring patient activity using various body sensors. Sensor data generated during personalized exercises or tasks may be too specific or inadequate to be evaluated using supervised methods such...
One-Class Classification-Based Real-Time Activity Error Detection in Smart Homes [0.03%]
基于一类分类的智能家庭实时活动误差检测
Barnan Das,Diane J Cook,Narayanan C Krishnan et al.
Barnan Das et al.
Caring for individuals with dementia is frequently associated with extreme physical and emotional stress, which often leads to depression. Smart home technology and advances in machine learning techniques can provide innovative solutions to...
Anomaly Detection and Artifact Recovery in PET Attenuation-Correction Images Using the Likelihood Function [0.03%]
利用似然函数进行PET衰减校正图像中的异常检测与伪影恢复
Charles M Laymon,James E Bowsher
Charles M Laymon
In dual modality PET/CT, CT data are used to generate the attenuation correction applied in the reconstruction of the PET emission image. This requires converting the CT image into a 511-keV attenuation map. Algorithms for making this trans...
Retrieving Tract Variables From Acoustics: A Comparison of Different Machine Learning Strategies [0.03%]
基于不同机器学习策略的声学特征提取及嗓音障碍严重程度判断研究
Vikramjit Mitra,Hosung Nam,Carol Y Espy-Wilson et al.
Vikramjit Mitra et al.
Many different studies have claimed that articulatory information can be used to improve the performance of automatic speech recognition systems. Unfortunately, such articulatory information is not readily available in typical speaker-liste...
A simple regularizer for B-spline nonrigid image registration that encourages local invertibility [0.03%]
一种正则化方法促进B样条非刚性图像配准的局部可逆性
Se Young Chun,Jeffrey A Fessler
Se Young Chun
Nonrigid image registration is an important task for many medical imaging applications. In particular, for radiation oncology it is desirable to track respiratory motion for thoracic cancer treatment. B-splines are convenient for modeling n...
Fengqing Zhu,Marc Bosch,Insoo Woo et al.
Fengqing Zhu et al.
There is a growing concern about chronic diseases and other health problems related to diet including obesity and cancer. The need to accurately measure diet (what foods a person consumes) becomes imperative. Dietary intake provides valuabl...
Tülay Adali,Z Jane Wang,Martin J McKeown et al.
Tülay Adali et al.
Canonical Correlation Analysis for Feature-Based Fusion of Biomedical Imaging Modalities and Its Application to Detection of Associative Networks in Schizophrenia [0.03%]
基于特征的融合生物医学图像模态的典范相关分析及其在精神分裂症关联网络检测中的应用
Nicolle M Correa,Yi-Ou Li,Tülay Adalı et al.
Nicolle M Correa et al.
Typically data acquired through imaging techniques such as functional magnetic resonance imaging (fMRI), structural MRI (sMRI), and electroencephalography (EEG) are analyzed separately. However, fusing information from such complementary mo...