Sputtr.com | Alternative Search Engine

Classi

Synthetic Aperture Sonar (SAS) and Acoustic Templates for the ...

Synthetic Aperture Sonar (SAS) and Acoustic Templates for the Detection and Classi˜cation of Underwater Munitions During Pond Experiment 2010 (PondEx10), acoustic responses from four inert unexploded ordnances (UXO), 5 scienti˜c targets

From circular ordinal regression to multilabel classi cation

From circular ordinal regression to multilabel classi cation Dieter Devlaminck 1, Willem Waegeman 2, Bruno Bauwens 1, Bart Wyns 1, Patrick Santens

An oblique subspace projection approach for mixed pixel ...

Pattern Recognition 32 (1999) 1399}1408 An oblique subspace projection approach for mixed pixel classi"cation inhyperspectral images Te-Ming Tu! , * , Hsuen-Chyun Shyu! , Ching-Hai Lee! , Chein-IChang"!

TNM STAGING OFHEAD AND NECK CANCER AND NECK DISSECTION CLASSI ...

1 Pocket Guideto NECKDISSECTI ON CLASSIFICATION ANDTNM STAGING OF HEAD AND NECK CANCER Committee for Head and Neck Surgery and Oncology American Academy of Otolaryngology-Head and NeckSurgery Neck Dissection Classification Committee American Head and Neck Society Edited by DanielG.

Classi cation with color and texture: jointly or separately?

Pattern Recognition 37 (2004) 1629-1640 www.elsevier.com/locate/patcog Classi cation with color and texture: jointly or separately? Topi M+aenp+a+a ∗, Matti Pietik+ainen Machine Vision Group, Infotech Oulu, Department of Electrical and Information Engineering, P.O. Box 4500, University of Oulu ...

MRImagingofthe Knee: Expanded Classi- ficationand Pitfalls to

490 U RadioGraphics U Mesgarzadeh Ct a! Volume 13Number 3 U INTRODUCTION Use of magnetic resonance (MR) imaging to diagnoseinterarticular derangements of the knee joint has bee n well documented in sev-era! articles concerning the normal anatomy (1-3), osteochondritisdissecans (4), and inju ...

Combining atandstructuredrepresentationsfor$ngerprint classi ...

400 Y. Yaoetal. /Pattern Recognition 36 (2003) 397-406 account the margin of theclassi$ers: The margin-weighted Euclidean distance, d (m; f)= s i=1 (* i f i − m i) 2, and the soft margin distance proposed in Ref. [27], d (f; m)= s j=1 | 1 − f i m i|

Signal Processing Tools for Power Quality Event Classi cation

50 100 150 200 250 300 0.64 0.66 0.68 0.7 0.72 0.74 msec Amplitude (p.u.) Signal Processing Tools for Power Quality Event Classi cation RAFAEL FLORES

IN GGrowthandIncome Portfolio-ClassI

Specialty Portfolios Q32011 IN GGrowthandIncome Portfolio-ClassI InvestmentObjective The Portfolio seeks to maximize total return through investments in a diversified portfolio of common stock and securities convertible into common stocks.

Classi c - Version 3.6 User Manual

2001-2012 . Classi c T ool s : PDF Library SDK . Version 3.6 User Manual