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18th Iberoamerican Congress on Pattern Recognition, CIARP 2013

作者： Rzeniewicz, Jacek Szymanśki, Julian Department of Computer Systems Architecture Gdańsk University of Technology Poland

ISBN: (纸本)9783642418211

A common problem with feature selection is to establish how many features should be retained at least so that important information is not lost. We describe a method for choosing this number that makes use of Support Vector Machines. The method is based on controlling an angle by which the decision hyperplane is tilt due to feature selection. Experiments were performed on three text datasets generated from a Wikipedia dump. Amount of retained information was estimated by classification accuracy. Even though the method is parametric, we show that, as opposed to other methods, once its parameter is chosen it can be applied to a number of similar problems (e.g. one value can be used for various datasets originating from Wikipedia). For a constant value of the parameter, dimensionality was reduced by from 78% to 90%, depending on the data set. Relative accuracy drop due to feature removal was less than 0.5% in those experiments. © Springer-Verlag 2013.

关键词： Feature Selection

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TRIPS: A distributed explicit data graph execution (EDGE) microprocessor 19

TRIPS: A distributed explicit data graph execution (EDGE) mi...

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19th IEEE Hot Chips Symposium, HCS 2007

作者： Govindan, Madhu Saravana Sibi Burger, Doug Keckler, Steve Computer Architecture and Technology Laboratory Department of Computer Sciences University of Texas Austin United States

ISBN: (纸本)9781467388696

This article consists of a collection of slides from the author's conference resentation on TRIPS, a distributed explicit data graph execution (EDGE) microprocessor. Some of the specific topics discussed include: architecture design and processing capabilties;performance evaluation;the special features of EDGE;networked microarchitectures;the TRIPS execution model;tile-level microarchitectures;implementation techniques;and opportunities for improvement. © 2007 IEEE.

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Secure Beamforming for Continuous Aperture Array (CAPA) Systems

arXiv

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arXiv 2025年

作者： Sun, Mingjun Ouyang, Chongjun Wang, Zhaolin Wu, Shaochuan Liu, Yuanwei School of Electronics and Information Engineering Harbin Institute of Technology Harbin150001 China School of Electrical and Electronic Engineering UCD College of Engineering and Architecture University College DublinD04 V1W8 Ireland School of Electronic Engineering and Computer Science Queen Mary University of London LondonE1 4NS United Kingdom Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong

Continuous aperture array (CAPA) is considered a promising technology for 6G networks, offering the potential to fully exploit spatial DoFs and achieve the theoretical limits of channel capacity. This paper investigates the performance gain of a CAPA-based downlink secure transmission system, where multiple legitimate user terminals (LUTs) coexist with multiple eavesdroppers (Eves). The system’s secrecy performance is evaluated using a weighted secrecy sum-rate (WSSR) under a power constraint. We then propose two solutions for the secure current pattern design. The first solution is a block coordinate descent (BCD) optimization method based on fractional programming (FP), which introduces a continuous-function inversion theory corresponding to matrix inversion in the discrete domain. This approach derives a closed-form expression for the optimal source current pattern. Based on this, it can be found that the optimal current pattern is essentially a linear combination of the channel spatial responses, thus eliminating the need for complex integration operations during the algorithm’s optimization process. The second solution is a heuristic algorithm based on Zero-Forcing (ZF), which constructs a zero-leakage current pattern using the channel correlation matrix. It further employs a waterfilling approach to design an optimal power allocation scheme that maximizes the WSSR. In high SNR regions, this solution gradually approaches the first solution, ensuring zero leakage while offering lower computational complexity. Simulation results demonstrate that: 1) CAPA-based systems achieve better WSSR compared to discrete multiple-input multiple-output (MIMO) systems. 2) The proposed methods, whether optimization-based or heuristic, provide significant performance improvements over existing state-of-the-art Fourier-based discretization methods, while considerably reducing computational complexity. Copyright © 2025, The Authors. All rights reserved.

关键词： Heuristic algorithms

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Comparative Assessment Between Statistical and Soft Computing Methods for Accident Severity Classification

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Journal of The Institution of Engineers (India): Series A 2020年第1期101卷 27-40页

作者： Sarkar, Amrita Sarkar, Satyaki Department of Computer Science and Engineering Sarala Birla University Ranchi835103 India Department of Architecture Birla Institute of Technology Mesra Ranchi835215 India

Globally traffic scenario has experienced a vast change over the years as volumes of traffic on urban roads have increased by leaps and bounds. This increase has also marked an increase in the number of road accidents, both fatal and non-fatal. Accident prediction has a significant role in the improvement in traffic safety, and urban traffic management. Different statistical methods and various soft computing techniques are being used for developing accident prediction models. In this study, ensemble ranking method, comprising three filter-based ranking methods such as Information Gain, Gain Ratio, and Symmetric Uncertainty, has been employed to select significant features for prediction of accident severity. Through analysis, eight significant features have been selected for accident severity prediction. These are Annual Average Daily Traffic, Road Width, Percentage of Left-Turn Vehicles, Driver’s Age, Percentage of Right-Turn Vehicles, Types of Vehicles Involved, Spot Speed, and Cause of Accidents. Multiple logistic regression (MLGR) and artificial neural network (ANN) have been applied for accident severity prediction in urban roads. This analysis concludes that ANN model gives more accuracy and minimum errors compared with the MLGR method at the time of severity classification of a vehicular accident. © 2019, The Institution of Engineers (India).

关键词： Forecasting

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Universal mechanisms for data-parallel architectures 36

Universal mechanisms for data-parallel architectures

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36th International Symposium on Microarchitecture, MICRO 2003

作者： Karthikeyan Sankaralingam Keckler, S.W. Mark, W.R. Burger, D. Computer Architecture and Technology Laboratory Department of Computer Sciences University of Texas at Austin United States

ISBN: (纸本)076952043X

Data-parallel programs are both growing in importance and increasing in diversity, resulting in specialized processors targeted at specific classes of these programs. This paper presents a classification scheme for data-parallel program attributes, and proposes micro-architectural mechanisms to support applications with diverse behavior for using a single reconfigurable architecture. We focus on the following four broad kinds of data-parallel programs - DSP/multimedia, scientific, networking, and real-time graphics workloads. While all of these programs exhibit high computational intensity, coarse-grain regular control behavior, and some regular memory access behavior, they show wide variance in the computation requirements, fine grain control behavior, and the frequency of other types of memory accesses. Based on this study of application attributes, this paper proposes a set of general micro-architectural mechanisms that enable a baseline architecture to be dynamically tailored to the demands of a particular application. These mechanisms provide efficient execution across a spectrum of data-parallel application and can be applied to diverse architectures ranging from vector cores to conventional superscalar cores. Our results using a baseline TRIPS processor show that the configurability of the architecture to the application demands provides harmonic mean performance improvement of 5%-55% over scalable yet less flexible architectures, and performs competitively against specialized architectures. © 2003 IEEE.

关键词： Application programs

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Use of ANNs as classifiers for selective attention brain-computer interfaces

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9th International Work-Conference on Artificial Neural Networks, IWANN 2007

作者： López, Miguel Ángel Pomares, Héctor Damas, Miguel Madrid, Eduardo Prieto, Alberto Pelayo, Francisco De La Plaza Hernández, Eva María Department of Computer Architecture and Computer Technology University of Granada Department of Experimental Psychology and Physiology of Behavior University of Granada

ISBN: (纸本)9783540730064

Selective attention to visual-spatial stimuli causes decrements of power in alpha band and increments in beta. For steady-state visual evoked potentials (SSVEP) selective attention affects electroencephalogram (EEG) recordings, modulating the power in the range 8-27 Hz. The same behaviour can be seen for auditory stimuli as well, although for auditory steady-state response (ASSR), it is not fully confirmed yet. The design of selective attention based brain-computer interfaces (BCIs) has two major advantages: First, no much training is needed. Second, if properly designed, a steady-state response corresponding to spectral peaks can be elicited, easy to filter and classify. In this paper we study the behaviour of ANNs as classifiers for a selective attention to auditory stimuli based BCI system. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Neural networks

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Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network

Automatic classification of prostate cancer using pseudo-gau...

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13th European Symposium on Artificial Neural Networks, ESANN 2005

作者： Valenzuela, O. Rojas, I. Rojas, F. Marquez, L. Department of Applied Mathematic University of Granada Spain Department of Computer Architecture and Computer Technology University of Granada Spain

ISBN: (纸本)2930307056

Recent advances in multimedia and image processing techniques can be utilized to assist pathologists in this respect. In fact, many investigators believe that automation of prostate cancer analysis increases the rate of early detection. In this paper, we will propose an automatic procedure for prostate cancer light micrograph based on soft-computing technique, for image interpretation, with increased accuracy. We propose a feature subset selection algorithm that selects the most important features, used by a pseudo-gaussian radial basis function neural networks to classify the prostate cancer light micrograph. A high classification rate has been achieved which will reduce the subjective human invention and will increase the diagnostic speed.

关键词： Diseases

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Evaluation of parallel EDAs to create chemical calibration models

Evaluation of parallel EDAs to create chemical calibration m...

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e-Science 2006 - 2nd IEEE International Conference on e-Science and Grid Computing

作者： Mendiburu, A. Miguel-Alonso, J. Lozano, J.A. Department of Computer Architecture and Technology Department of Computer Science and Artificial Intelligence University of the Basque Country Gipuzkoa Spain

ISBN: (纸本)0769527345

Estimation of Distribution Algorithms (EDAs) are a set of optimization techniques that have been successfully applied to different kinds of problems. In this paper, we deal with the creation of multivariate calibration models in quantitative chemistry. For this purpose, we use parallel implementations of two EDAs (EBNABIC and UMDA), using different approaches to create a calibration model using data obtained from controlled reactions. Once the calibration model has been trained, it can be used to predict initial concentrations for some species taking part in new reactions. The results show that these new approaches are able to obtain good-quality calibration models. Moreover, the use of parallel algorithms allows researchers to complete experiments faster and to study a wider set of alternative solutions. © 2006 IEEE.

关键词： Parallel algorithms

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Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2025年 14784 LNCS卷 v页

作者： Bai, Guangdong Ishikawa, Fuyuki Aït-Ameur, Yamine Papadopoulos, George A. School of Electrical Engineering and Computer Science Faculty of Engineering Architecture and Information Technology University of Queensland BrisbaneQLD Australia Information Systems Architecture Science Research Division National Institute of Informatics Tokyo Chiyoda-ku Japan IRIT University of Toulouse Toulouse France Department of Computer Science University of Cyprus Nicosia Cyprus

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COMPARING SOFTWARE PIPELINING FOR AN OPERATION-TRIGGERED AND A TRANSPORT-TRIGGERED architecture 4th

COMPARING SOFTWARE PIPELINING FOR AN OPERATION-TRIGGERED AND...

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4TH INTERNATIONAL WORKSHOP ON COMPILER CONSTRUCTION ( CC 92 )

作者： HOOGERBRUGGE, J CORPORAAL, H Delft University of Technology Department of Electrical Engineering Section Computer Architecture and Digital Systems Netherlands

ISBN: (纸本)3540559841

This paper reports the results of a comparison between a new class of architectures, called transport-triggered architectures, and traditional architectures, called operation-t~iggered architectures. It does this comparison by means of the MOVE-i860, which is a transport-triggered approximation of the i860. Several benchmarks are scheduled for the MOVE-i860 by a software pipelining scheduler. By scheduling according to three scheduling disciplines, we are able to measure the advantages of transport-triggered architectures. The results of the experiments show that transport-triggered architectures perform better than operation-triggered architectures with similar hardware. © 1992, Springer Verlag. All rights reserved.

关键词： Scheduling

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