The programs and applications on this disk have been carefully tested, but are
not guaranteed for any particular purpose. The publisher does not offer any
warranties and does not guarantee the Accuracy, adequacy, or completeness of
any information and is not responsible for any errors or omissions or the
results obtained from use of such information.
The programs and applications on this disk have been carefully tested, but are
not guaranteed for any particular purpose. The publisher does not offer any
warranties and does not guarantee the Accuracy, adequacy, or completeness of
any information and is not responsible for any errors or omissions or the
results obtained from use of such information.
The programs and applications on this disk have been carefully tested, but are
not guaranteed for any particular purpose. The publisher does not offer any
warranties and does not guarantee the Accuracy, adequacy, or completeness of
any information and is not responsible for any errors or omissions or the
results obtained from use of such information.
Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning Accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimensional data and has been shown effective in removing both irrelevant features and redundant features
The paper presents the CORDIC Algorithm, which has been implemented as an virtual component (IP core) in a VHDL simulation environment. The core is packaged as a soft (VHDL) macro and it implements all transcenden-tal functions. Analysis of the Accuracy of the algorithms implemented shows that the CORDIC functions are equivalent to the Accuracy of a Pentium coprocessor.
PartiTek SDK
PartiTek Software Inc. is a professional image processing and barcode software development company that produces the SDK to encode & decode PDF417, QR Code, Data Matrix . By using PartiTek software, our users have successfully leveraged many years of university level research into their products, gaining increased reading Accuracy and simple barcode creation.
QRcode modules FOR Linux.
THIS DESIGN IS PROVIDED TO YOU "AS IS". XILINX MAKES AND YOU RECEIVE NO WARRANTIES OR CONDITIONS, EXPRESS, IMPLIED, STATUTORY OR OTHERWISE, AND XILINX SPECIFICALLY DISCLAIMS ANY IMPLIED WARRANTIES OF MERCHANTABILITY, NON-INFRINGEMENT, OR FITNESS FOR A PARTICULAR PURPOSE. This design has not been verified on hardware (as opposed to simulations), and it should be used only as an example design, not as a fully functional core. XILINX does not warrant the performance, functionality, or operation of this Design will meet your requirements, or that the operation of the Design will be uninterrupted or error free, or that defects in the Design will be corrected. Furthermore, XILINX does not warrant or make any representations regarding use or the results of the use of the Design in terms of correctness, Accuracy, reliability or otherwise.
基于PCA和LDA的人臉識(shí)別。％ Main function that reads in files, applies pre-processing, calls face
％ recognition algorithm, and then plots resulting Accuracy.
Proceedings of Practice of Interesting Algorithms 2007
The editor assumes no responsibility for the Accuracy, completeness or usefulness of
the information disclosed in this volume. Unauthorized use might infringe on
privately owned patents of publication right. Please contact the individual authors for
permission to reprint or otherwise use information from their papers.
First edition 2007
Publication Planned by Prof. Wenxin Li
Edited by Yili Zhao
All rights reserved
by
Artificial Intelligence Laboratory, Peking University
June 26, 2007
In this paper, we present LOADED, an algorithm for outlier
detection in evolving data sets containing both continuous
and categorical attributes. LOADED is a tunable algorithm,
wherein one can trade off computation for Accuracy so that
domain-specific response times are achieved. Experimental
results show that LOADED provides very good detection and
false positive rates, which are several times better than those
of existing distance-based schemes.
