Ke Li,Bo Yan,Weiyi Wang et al.
Ke Li et al.
With a growth of surveillance cameras, the amount of captured videos expands. Manually analyzing and retrieving surveillance video is labor intensive and expensive. It would be much more convenient to generate a video digest, with which we ...
David Tucker,Shen Zhao,Lee C Potter
David Tucker
We consider the maximum likelihood (ML) parameter estimation problem for mixed integer linear models with arbitrary noise covariance. This problem appears in applications such as single frequency estimation, phase contrast imaging, and dire...
Alias-Free Arrays [0.03%]
无别名数组
David Tucker,Shen Zhao,Rizwan Ahmad et al.
David Tucker et al.
Nonuniform array geometries provide freedom for increased aperture and reduced mutual coupling. A necessary and sufficient condition is given for an array of isotropic sensor elements to be unambiguous for any specified set of directions of...
An approximate expectation-maximization for two-dimensional multi-target detection [0.03%]
二维多目标检测中的一种近似期望最大化方法
Shay Kreymer,Amit Singer,Tamir Bendory
Shay Kreymer
We consider the two-dimensional multi-target detection (MTD) problem of estimating a target image from a noisy measurement that contains multiple copies of the image, each randomly rotated and translated. The MTD model serves as a mathemati...
Geometric Analysis of Uncertainty Sampling for Dense Neural Network Layer [0.03%]
不确定性采样几何分析：应用于稠密神经网络层
Aziz Koçanaoğulları,Niklas Smedemark-Margulies,Murat Akcakaya et al.
Aziz Koçanaoğulları et al.
For model adaptation of fully connected neural network layers, we provide an information geometric and sample behavioral active learning uncertainty sampling objective analysis. We identify conditions under which several uncertainty-based m...
P Braca,D Gaglione,S Marano et al.
P Braca et al.
This paper develops an easily-implementable version of Page's CUSUM quickest-detection test, designed to work in certain composite hypothesis scenarios with time-varying data statistics. The decision statistic can be cast in a recursive for...
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction [0.03%]
用于提取主体无关的生理特征的解缠对抗自编码器
Mo Han,Özan Ozdenizci,Ye Wang et al.
Mo Han et al.
Recent developments in biosignal processing have enabled users to exploit their physiological status for manipulating devices in a reliable and safe manner. One major challenge of physiological sensing lies in the variability of biosignals ...
Ching-Hua Lee,Bhaskar D Rao,Harinath Garudadri
Ching-Hua Lee
In this letter, we propose a novel conjugate gradient (CG) adaptive filtering algorithm for online estimation of system responses that admit sparsity. Specifically, the Sparsity-promoting Conjugate Gradient (SCG) algorithm is developed base...
Il Yong Chun,David Hong,Ben Adcock et al.
Il Yong Chun et al.
Convolutional analysis operator learning (CAOL) enables the unsupervised training of (hierarchical) convolutional sparsifying operators or autoencoders from large datasets. One can use many training images for CAOL, but a precise understand...
Seong-Eun Kim,Demba Ba,Emery N Brown
Seong-Eun Kim
Spectral properties of the electroencephalogram (EEG) are commonly analyzed to characterize the brain's oscillatory properties in basic science and clinical neuroscience studies. The spectrum is a function that describes power as a function...