Results 41 to 50 of about 33,807 (240)

Speaker Ｒecognition under Limited Data

Journal of Harbin University of Science and Technology, 2017
Speaker recognition has attracted broad and deep research in the past few decades，and manymethods have been proposed. At present，the popular methods such as the Gaussian mixture model-Universal background model( GMM-UBM) and Gaussian mixture model ...
GAI Chao-xu, LIANG Long-kai, HE Yong-jun   +2 more
doaj   +1 more source

Convex hull indexed Gaussian mixture model (CH-GMM) for 3D point set registration [PDF]

Pattern Recognition, 2016
To solve the problem of rigid/non-rigid 3D point set registration, a novel convex hull indexed Gaussian mixture model (CH-GMM) is proposed in this paper. The model works by computing a weighted Gaussian mixture model (GMM) response over the convex hull of each point set.
Jingfan Fan, Jian Yang, Danni Ai, Likun Xia, Yitian Zhao, Xing Gao, Yongtian Wang   +6 more
openaire   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

CNN-GMM approach to identifying data distribution shifts in forgeries caused by noise: a step towards resolving the deepfake problem [PDF]

PeerJ Computer Science
Recently, there have been notable advancements in video editing software. These advancements have allowed novices or those without access to advanced computer technology to generate videos that are visually indistinguishable to the human eye from real ...
Roaa Mohamed Alnafea, Liyth Nissirat, Aida Al-Samawi   +2 more
doaj   +2 more sources

GMM-Demux: sample demultiplexing, multiplet detection, experiment planning, and novel cell-type verification in single cell sequencing

Genome Biology, 2020
Identifying and removing multiplets are essential to improving the scalability and the reliability of single cell RNA sequencing (scRNA-seq). Multiplets create artificial cell types in the dataset.
Hongyi Xin, Qiuyu Lian, Yale Jiang, Jiadi Luo, Xinjun Wang, Carla Erb, Zhongli Xu, Xiaoyi Zhang, Elisa Heidrich-O’Hare, Qi Yan, Richard H. Duerr, Kong Chen, Wei Chen   +12 more
doaj   +1 more source

An Error Overbounding Method Based on a Gaussian Mixture Model with Uncertainty Estimation for a Dual-Frequency Ground-Based Augmentation System

Remote Sensing, 2022
To ensure the integrity of a ground-based augmentation system (GBAS), an ionosphere-free (Ifree) filtering algorithm with dual-frequency measurements is employed to make the GBAS free of the first-order ionospheric influence. However, the Ifree algorithm
Zhen Gao, Kun Fang, Zhipeng Wang, Kai Guo, Yuan Liu   +4 more
doaj   +1 more source

Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures [PDF]

, 2014
We consider the problem of clustering data points in high dimensions, i.e. when the number of data points may be much smaller than the number of dimensions.
Azizyan, Martin, Singh, Aarti, Wasserman, Larry   +2 more
core  

Temporal and Cell‐Specific Regulation of Synaptic Homeostasis by the Chromatin Remodeler Chd1

Advanced Science, EarlyView.
Chd1, the Drosophila homologue of mammalian CHD2 ‐ a gene linked to autism, epilepsy, and intellectual disability, is required for synaptic homeostatic plasticity. Chd1 in glia is necessary for the rapid induction of synaptic homeostasis, whereas Chd1 in motoneurons, muscle, and glia is critical for long‐term maintenance.
Danielle T. Morency, Tao Cui, Yimei Cai, Chloe Lok, Rachel E. Nokku, Ruoxian Huang, Grace L. Chu, Yumeng Xie, Saleem W. Abu‐Tayeh, Kaikai He, Chengjie Qiu, Junyi Wang, Paxton M. Paganelli, Ting Wang, Gabrielle Williams, Sreejith Nair, Huadong Pei, Dion K. Dickman, Stefano Vicini, Tingting Wang   +19 more
wiley   +1 more source

A novel adaptive Gaussian sum cubature Kalman filter with time-varying non-Gaussian noise for GNSS/SINS tightly coupled integrated navigation system

Frontiers in Astronomy and Space Sciences
The Gaussian sum cubature Kalman filter (GSCKF) based on Gaussian mixture model (GMM) is a critical nonlinear non-Gaussian filter for data fusion of global navigation satellite system/strapdown inertial navigation systems (GNSS/SINS) tightly coupled ...
Qing Dai, Qing Dai, Ru Wan, Shao-Yong Han, Shao-Yong Han, Guo-Rui Xiao   +5 more
doaj   +1 more source

Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models

, 2016
Conventional deep neural networks (DNN) for speech acoustic modeling rely on Gaussian mixture models (GMM) and hidden Markov model (HMM) to obtain binary class labels as the targets for DNN training.
Asaei, Afsaneh, Bourlard, Herve, Dighe, Pranay   +2 more
core   +1 more source