搜索结果: 1-12 共查到“计算机科学技术 reduction”相关记录12条 . 查询时间(0.093 秒)
An n-to-1 Bidder Reduction for Multi-item Auctions and its Applications
Bidder Reduction Multi-item Auctions Applications
2016/1/22
In this paper, we introduce a novel approach for reducing the k-item n-bidder auction with additive valuation to k-item 1-bidder auctions. This approach, called the Best-Guess reduction, can be applie...
Reduction of the Adjoint Gradient Formula in the Continuous Limit
Adjoint Gradient Formula Continuous Limit
2015/7/2
We present a new continuous adjoint method for Aerodynamic Shape Optimization (ASO) using the Euler equations, which reduces the computational cost of the gradi ents by reducing the volume integral pa...
Model Reduction of Complex Systems in the Linear-Fractional Framework
Linear-Fractional Framework Complex Systems
2015/6/19
This paper discusses model reduction for systems in several different classes; in particular time-varying, multidimensional or uncertain systems, and nonlinear systems in the linear-fractional framewo...
Maximal Linear Embedding for Dimensionality Reduction
Dimensionality reduction manifold learning maximal linear patch landmarks-based global alignment.
2013/7/24
Over the past few decades, dimensionality reduction has been widely exploited in computer vision and pattern analysis.This paper proposes a simple but effective nonlinear dimensionality reduction algo...
Up-sampling Dependent Frame Rate Reduction for Low Bit-rate Video Coding
Up-sampling Dependent Frame Rate Video Coding
2013/7/24
In low bit rate video coding, the frame rate of input sequence can be reduced to the half or even smaller portion by skipping or deleting frames before compression, and then the temporal resolution is...
PAPR reduction using artificial bee colony algorithm in OFDM systems
Orthogonal frequency division multiplexing (OFDM) peak-to-average power ratio (PAPR) partial transmit sequences (PTS) artificial bee colony (ABC) high power amplifier (HPA)
2011/3/22
Partial transmit sequence (PTS) is an attractive scheme for peak-to-average power ratio (PAPR) reduction in orthogonal frequency division multiplexing (OFDM) systems, but its high computational comple...
基于非均匀细分的散乱点云数据精简算法（Algorithm of Scattered Point Cloud Data Reduction Based on Non-uniform Subdivision）
逆向工程 散乱点云 非均匀细分
2009/9/25
针对海量散乱点云数据精简问题，提出了基于非均匀细分的精简算法。采用八叉树结构对点云数据进行空间分割，由分割结果建立k邻域。对k邻域内的散乱点进行二次曲面拟合，以拟合曲面的平均曲率为判据决定是否对八叉树空间实行非均匀细分，细分过程中由数据点之间的最大间隔角决定细分程度。构造曲率差函数，识别出边界数据点，对其进行数据保护。该算法对具有曲率多样化特点的点云数据的精简具有实用性，通过实验验证了该算法的可靠...
Interference Reduction Technique in Multistage Multiuser Detector for DS-CDMA System
Multi-user detection (MUD) multiple access interference (MAI) near-far effect
2010/2/2
This paper presents the results related to the
interference reduction technique in multistage multiuser detector for
asynchronous DS-CDMA system. To meet the real-time
requirements for asynchronous...
Controlling Inference: Avoiding P-level Reduction During Analysis
Privacy preserving data mining data collection concept hierarchies inferencecontrol
2014/3/11
This paper presents a concept hierarchy-based approach to privacy preserving data collection for data mining called the P-level model. The P-level model allows data providers to divulge information at...
A Query System for XML Data Stream and its Semanticsbased Buffer Reduction
XML Data Stream Query Optimization Buffer Management SAX
2014/3/11
With respect to current methods for query evaluation over XML data streams, adoption of certain types of buffering techniques is unavoidable. Under lots of circumstances, the buffer scale may increase...
Kalman Filter Based Adaptive Reduction of Motion Artifact from Photoplethysmographic Signal
Kalman filter Motion artifact PPG Photoplethysmography
2010/2/2
Artifact free photoplethysmographic (PPG) signals are
necessary for non-invasive estimation of oxygen saturation (SpO2) in
arterial blood. Movement of a patient corrupts the PPGs with motion
artifa...
The k-nearest neighbours (kNN) is a simple but effective method for classification. Its major drawbacks are (1) low efficiency, and (2) dependency on the selection of a “good value” for k. In this pap...