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LexRank

LexRank

  • test
  • 39 Slides

: Graph-based Centrality as Salience in Text Sum...

Finding Similar Items

Finding Similar Items

  • lindy-dunigan
  • 35 Slides

MMDS . Secs. . 3.2-3.4. . Slides adapted from: . ...

OF EXPERIMENTAL PSYCHOLOGY, 1995, and Vocabulary

OF EXPERIMENTAL PSYCHOLOGY, 1995, and Vocabulary

  • tatyana-admore
  • 100 Slides

VOCABULARY LEARNING Phonological similarity immedi...

FOCUS

FOCUS

  • trish-goza
  • 35 Slides

: . Clustering . Crowdsourced. Videos by Line-of...

Silhouette-based Object Phenotype Recognition using 3D Shap

Silhouette-based Object Phenotype Recognition using 3D Shap

  • danika-pritchard
  • 29 Slides

Yu Chen. 1 . Tae-. Kyun. Kim. 2. ...

Scalability

Scalability

  • conchita-marotz
  • 83 Slides

of Similarity Searching. the MUFIN approach. Pave...

Multi Feature Indexing Network

Multi Feature Indexing Network

  • lindy-dunigan
  • 69 Slides

MUFIN. . Similarity Search Platform for many App...

Unsteady Flow

Unsteady Flow

  • stefany-barnette
  • 81 Slides

Most of the problems encountered in engineering a...

Applying Similarity

Applying Similarity

  • marina-yarberry
  • 18 Slides

Kaitlyn. O’Malley. “You are getting sleepyâ€...

Last lecture summary

Last lecture summary

  • yoshiko-marsland
  • 36 Slides

identity vs. similarity. homology vs. similarity....

The Use of Graph Matching Algorithms to Identify Biochemica

The Use of Graph Matching Algorithms to Identify Biochemica

  • tatiana-dople
  • 19 Slides

Synthetic Chemical Compounds. Application to Meta...

for Similarity

for Similarity

  • danika-pritchard
  • 100 Slides

Respects Douglas L Medin, Robert L Goldstone,...

875: Recent

875: Recent

  • trish-goza
  • 57 Slides

A. dvances . in . Geometric . C. omputer . V. isi...

Why are some kinds Historical and Others Not?

Why are some kinds Historical and Others Not?

  • test
  • 82 Slides

Laura Franklin-Hall. New York University. April 2...

CLASSIFICATION OF LIVING THINGS

CLASSIFICATION OF LIVING THINGS

  • mitsue-stanley
  • 23 Slides

CLASSIFICATION OF LIVING THINGS. ABOUT HOW MANY L...

The foundation for the APOSDLE approach is to not rely on specifically

The foundation for the APOSDLE approach is to not rely on specifically

  • conchita-marotz
  • 100 Slides

###### ### #### ##### #### #### ### #### Concept l...

RAProp

RAProp

  • myesha-ticknor
  • 62 Slides

: Ranking Tweets by Exploiting the Tweet/User/Web...

Che-Han Chang

Che-Han Chang

  • briana-ranney
  • 37 Slides

1. , Yoichi Sato. 2. , Yung-Yu Chuang. 1. 1. Nati...

Human Activity Inference on Smartphones Using

Human Activity Inference on Smartphones Using

  • luanne-stotts
  • 34 Slides

C. ommunity Similarity Network (CSN). Ye Xu. Lab...

In the once upon a time days of the First Age of Magic, the

In the once upon a time days of the First Age of Magic, the

  • liane-varnes
  • 65 Slides

The first hint Mr. Slippery had that his own True...

Check it out!

Check it out!

  • ellena-manuel
  • 7 Slides

1. 1.7.3: Proving the Pythagorean Theorem Using S...

Content-based recommendation

Content-based recommendation

  • pasty-toler
  • 24 Slides

Content-based recommendation. While CF – method...

Emerging Graph Queries in Linked Data

Emerging Graph Queries in Linked Data

  • jane-oiler
  • 108 Slides

Arijit Khan, . Yinghui. Wu, Xifeng Yan. Departme...

Hinrich

Hinrich

  • pasty-toler
  • 70 Slides

. Schütze. and Christina . Lioma. Lecture . 19...

Cooperative XML Answering

Cooperative XML Answering

  • trish-goza
  • 48 Slides

By. Wesley.W.Chu and Shaorong Liu. Aditya Chintal...

NLP Text Similarity

NLP Text Similarity

  • jane-oiler
  • 31 Slides

Semantic Similarity:. Synonymy and . Other . Sema...

Monday, Sept. 15

Monday, Sept. 15

  • luanne-stotts
  • 17 Slides

th. . Today, You Will Need:. Classical Mediterra...

Randomized / Hashing Algorithms

Randomized / Hashing Algorithms

  • karlyn-bohler
  • 72 Slides

Shannon Quinn. (with . thanks to William Cohen of...

Word Meaning and Similarity

Word Meaning and Similarity

  • giovanna-bartolotta
  • 23 Slides

Word Senses. . and Word Relations. Reminder: lem...

Network Measures

Network Measures

  • alida-meadow
  • 54 Slides

TJTSD66: Advanced Topics in Social Media. Dr. WAN...

Learning from Negative Examples in Set-Expansion

Learning from Negative Examples in Set-Expansion

  • tatiana-dople
  • 26 Slides

Authors: . Prateek. Jindal and Dan Roth. Dept. o...

Clustering

Clustering

  • trish-goza
  • 14 Slides

Supervised & Unsupervised Learning. Supervise...

Fractals

Fractals

  • danika-pritchard
  • 51 Slides

Basic Concept. Entities are composed of features ...

Cross-Language Retrieval

Cross-Language Retrieval

  • trish-goza
  • 18 Slides

INST 734. Module 11. Doug . Oard. Agenda. CLIR. D...

26 Phylogeny and the Tree of Life

26 Phylogeny and the Tree of Life

  • tatiana-dople
  • 23 Slides

Investigating the Tree of Life. Legless lizards h...

Generic Schema Matching, Ten Years Later

Generic Schema Matching, Ten Years Later

  • cheryl-pisano
  • 48 Slides

Philip A. Bernstein Microsoft Corp.. Jayant ...

Relevance Feedback for the

Relevance Feedback for the

  • tatiana-dople
  • 22 Slides

Earth Mover‘s Distance. Marc Wichterich. , Chri...

STS:

STS:

  • mitsue-stanley
  • 34 Slides

Tempora. l. . and Spatial Constraints on Text Si...

Phenotype And Trait Ontology (PATO)

Phenotype And Trait Ontology (PATO)

  • tawny-fly
  • 20 Slides

and plant phenotypes. George . Gkoutos. Phenotyp...

Interpersonal Communication

Interpersonal Communication

  • lindy-dunigan
  • 53 Slides

Diyah Ayu Amalia Avina . M.Si. Interpersonal comm...

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