搜索结果: 1-15 共查到“信息与通信工程 identification”相关记录21条 . 查询时间(0.093 秒)
IDENTIFICATION OF SIMILARITIES AND PREDICTION OF UNKNOWN FEATURES IN AN URBAN STREET NETWORK
urban traffic traffic analysis machine learning clustering
2018/11/9
Accurate predictions of the characteristics of urban streets in particular with respect to the typical traffic situations are crucial for numerous real world applications such as navigation, schedulin...
RBRIdent: an algorithm for improved identification of RNA-binding residues in proteins from primary sequences
RNA-binding residues sequence-based prediction machine learning feature selection
2016/1/22
Rapid and correct identification of RNA-binding residues based on the protein primary sequences is of great importance. In most prevalent machine-learning-based identification methods; however, either...
Application of empirical mode decomposition to very low frequency signals for identification of seismic-ionospheric precursor phenomena
Earthquake Precursor Phenomena Empirical Mode Decomposition
2015/8/24
This study investigates the application of empirical mode decomposition to signals from very low frequency transmitters in Europe that were received in Thessaloniki, Greece, to provide a method for de...
Regression-class Tree based Method for Efficient Speaker Identification
Regression-class Tree Method Efficient Speaker Identification
2013/6/28
In this paper an efficient speaker identification (SpkID) method is proposed. In GMM-based speaker recognition, the model training and the likelihood score computations are very time...
An efficient parallelization of phosphorylated peptide and protein identification
peptide protein identification
2010/12/20
Protein sequence database search based on tandem mass spectrometry is an essential method for
protein identification. As the computational demand increases, parallel computing has become an important...
pNovo: De novo Peptide Sequencing and Identification Using HCD Spectra
Peptide Sequencing dentification HCD Spectra
2010/12/21
De novo peptide sequencing has improved remarkably in the past decade as a result of better
instruments and computational algorithms. However, de novo sequencing can correctly interpret only ∼3...
Recursive Estimation and Identification of Time-Varying Long-Term Fading Channels
Recursive Estimation Time-Varying Long-Term Fading Channels Identification
2009/9/4
This paper is concerned with modeling of time-varying wireless long-term fading channels, parameter estimation, and identification from received signal strength data. Wireless channels are represented...
On Blind MIMO System Identification Based on Second-Order Cyclic Statistics
Blind MIMO System Identification Second-Order Cyclic Statistics
2009/9/4
This letter introduces a new frequency domain approach for either MIMO System Identification or Source Separation of convolutive mixtures in cyclostationary context. We apply the joint diagonalization...
An Algorithm to Generate Representations of System Identification Errors
Algorithm Generate Representations System Identification Errors
2009/9/4
An algorithm to generate representations of system identification (SI) errors, which enables systematic testing of the performance of system equalization techniques, is proposed. With this algorithm, ...
PeakSelect: preprocessing tandem mass spectra for better peptide identification
preprocessing tandem mass spectra peptide identification
2010/12/17
We present a new preprocessing method, PeakSelect, to improve the accuracy and efficiency of
Tandem Mass-Spec peptide (protein) identification. The fundamental difference between noise and fragment i...
A Strategy for Precise and Large-Scale Identification of Core Fucosylated Glycoproteins
Large-Scale Identification Core Fucosylated Glycoproteins
2010/12/20
Core fucosylation (CF) patterns of some glycoproteins are more sensitive and specific than evaluation of their total respective protein levels for diagnosis of many diseases,such as cancers. Global pr...
Mining Tandem Mass Spectral Data to Develop a More Accurate Mass Error Model for Peptide Identification,
Spectral Data Mass Error Model Peptide Identification
2010/12/17
The assumption on the mass error distribution of fragment ions plays a crucial role in
peptide identification by tandem mass spectra. Previous mass error models are the
simplistic uniform or normal ...
Association for Automatic Identification and Mobile Data Capture（AIM UK）represents the automatic identification, data capture and mobility industries. Our members are the providers and users of the te...
A tree-based kernel selection approach to efficient Gaussian mixture model–universal background model based speaker identification
Speaker recognition Speaker identification Tree-based kernel selection GMM–UBM
2013/6/28
We propose a tree-based kernel selection (TBKS) algorithm as a computationally efficient approach to the Gaussian mixture model–universal background model (GMM–UBM) based speaker identification. All G...
Jersey Number Detection in Sports Video for athlete Identification
Jersey Number Detection Sports Video athlete Identification
2010/12/15
Athlete identification is important for sport video content analysis since users often care about the video clips with their preferred athletes. In this paper, we propose a method for athlete identifi...