Document Finishing Resources, Inc
Document Finishing Resources
http://www.docfinres.com

ACE Business Machines
ACE Business Machines has Full service of Paper shredders, check signer, check endorser & Perforator with Support after sale
http://www.acebminc.com

ManagementDownload.com
Download Document Management Software, Download Document Software from hundreds of vendors. Download directories include Document Management and Document Imaging software, Document Archiving and Document Conversion Software.
http://www.managementdownload.com/

Imagistics
Océ is a global leader in digital document management and delivery technology offering software solutions, digital printers, copiers, plotters and scanners.
http://www.imagistics.com

Entomophthora muscae
Article by Tom Volk on this insect-destroying fungus.
http://botit.botany.wisc.edu/toms_fungi/mar2000.html

Group Prospect Company Ltd
manufacturer and exporter of textile products includes spinning machines, weaving machines, weaving preparation machines, finishing machines, used machines, textiles goods, hat, blanket, bed sheet, towel.
http://www.groupprospect.com.hk

Amanita virosa
Amanita virosa - destroying angel - pictures, habitat and identification guide
http://www.first-nature.com/fungi/id_guide/amanitaceae/amanita_virosa.htm

A Tutorial on Support Vector Machines for Pattern Recognition
Document details from CiteSeerX (Isaac Councill, Lee Giles): Abstract. The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-separable data, working through a non-trivial example in detail. We describe a mechanical analogy, and discuss when SVM solutions are unique and when they are global. We describe how support vector training can be practically implemented, and discuss in detail the kernel mapping technique which is used to construct SVM solutions which are nonlinear in the data. We show how Support Vector machines can have very large (even infinite) VC dimension by computing the VC dimension for homogeneous polynomial and Gaussian radial basis function kernels. While very high VC dimension would normally bode ill for generalization performance, and while at present there exists no theory which shows that good generalization performance is guaranteed for SVMs, there are several arguments which support the observed high accuracy of SVMs, which we review. Results of some experiments which were inspired by these arguments are also presented. We give numerous examples and proofs of most of the key theorems. There is new material, and I hope that the reader will find that even old material is cast in a fresh light.
http://citeseer.ist.psu.edu/burges98tutorial.html

Sreco Flexible
Manufacturer of jet machines, combination machines, rodding machines, bucket machines, and video systems.
http://www.srecoflexible.com/

Sreco Flexible
Manufacturer of jet machines, combination machines, rodding machines, bucket machines, and video systems.
http://www.srecoflexible.com/