NCDC Technical Report NCDC No. GHCNM[removed]Modifications to Pairwise Homogeneity Adjustment software to address coding

Source URL: www1.ncdc.noaa.gov

• Earth
• CLIMAT
• National Climatic Data Center
• Debugging
• Climate change
• Climate
• Temperature record
• Array
• Climate history
• Atmospheric sciences
• Meteorology

A New Block Markov Coding Strategy for Pairwise and Collective Cooperation in the Three User MAC C ¸ a˜gatay Edemen and Onur Kaya Department of Electrical and Electronics Engineering Isik University, Istanbul, Turkey

Source URL: www2.isikun.edu.tr

• Communication
• Information
• Relay channel
• Error message
• Computing
• Technology
• Radio resource management
• Information theory
• Cooperative diversity

Discovering new vowel harmony patterns using a pairwise statistical model Nathan Sanders and K. David Harrison (Swarthmore College) 20th Manchester Phonology Meeting, 24–26 May 2012 Goals

Source URL: sanders.phonologist.org

• Languages of Russia
• Languages of Europe
• Language
• Vowel harmony
• Votic language
• Turkish language
• Old Turkic language
• Ö
• Vowel
• Linguistics
• Agglutinative languages
• Turkic languages

Discovering New Vowel Harmony Patterns Using a Pairwise Statistical Model Nathan Sanders and K. David Harrison, Swarthmore College {nsander1,dharris2}@swarthmore.edu 1 Introduction

Source URL: sanders.phonologist.org

• Phonology
• Assimilation
• Vowel harmony
• Turkic languages
• Vowel
• Diphthong
• Phoneme
• Turkish language
• Linguistics
• Phonetics
• Vowels

Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion Jinfeng Yi [removed] Lijun Zhang

Source URL: dataclustering.cse.msu.edu

• Data analysis
• Constrained clustering
• Cluster analysis
• Spectral clustering
• Hierarchical clustering
• K-means clustering
• Large margin nearest neighbor
• Segmentation
• Semi-supervised learning
• Statistics
• Machine learning
• Multivariate statistics

A NOTE ON THE NUMBER OF S-DIOPHANTINE QUADRUPLES FLORIAN LUCA AND VOLKER ZIEGLER Abstract. Let (a1 , . . . , am ) be an m-tuple of positive, pairwise distinct integers. If for all 1 ≤ i < j ≤ m the prime divisors of

Source URL: finanz.math.tu-graz.ac.at

BoostCluster: Boosting Clustering by Pairwise Constraints Yi Liu, Rong Jin, and Anil K. Jain Department of Computer Science and Engineering Michigan State University East Lansing, MI 48824, USA {liuyi3,

Source URL: dataclustering.cse.msu.edu

• Machine learning
• Cluster analysis
• Data mining
• Geostatistics
• Hierarchical clustering
• Constrained clustering
• Spectral clustering
• Single-linkage clustering
• K-means clustering
• Statistics
• Multivariate statistics
• Data analysis

To appear in HCOMP, 2012 Crowdclustering with Sparse Pairwise Labels: A Matrix Completion Approach Jinfeng Yi† , Rong Jin† , Anil K. Jain† , Shaili Jain∗ †

Source URL: biometrics.cse.msu.edu

• Data analysis
• Data mining
• Geostatistics
• Spectral clustering
• Non-negative matrix factorization
• K-means clustering
• Matrix
• Consensus clustering
• Fuzzy clustering
• Statistics
• Multivariate statistics
• Cluster analysis

SPLAT: A SYSTEM FOR SELF-PLAGIARISM DETECTION Christian Collberg, Stephen Kobourov, Joshua Louie, and Thomas Slattery Department of Computer Science University of Arizona Tucson, AZ 85721 {collberg,kobourov,jdlouie,thoma

Source URL: splat.cs.arizona.edu

• Pairwise
• Education
• Thought
• Scientific misconduct
• The Baltimore Sun
• Academic publishing
• Document
• Duplicate publication
• Plagiarism
• Plagiarism detection
• Deception

A Study of Self-Plagiarism in Computer Science University of Arizona TR03-02 Christian Collberg Stephen Kobourov

Source URL: splat.cs.arizona.edu

• Plagiarism
• Web crawler
• Diff
• TeX
• The Baltimore Sun
• Pairwise
• HTML
• Microsoft Word
• World Wide Web
• Computing
• Software
• Technical communication