Spain

ECAI 2020

New randomized strategies for the color coding algorithm

elementary path

color coding

randomized algorithm

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the **ICPR 2020** Conference, there are 1407 Oral/Poster presentations organized in five Tracks: 
- Artificial Intelligence, Machine Learning for Pattern Analysis; 
- Biometrics, Human Analysis and Behavior Understanding; Computer Vision, Robotics and Intelligent Systems; 
- Document and Media Analysis; and 
- Image and Signal Processing. 

The **ICPR 2020** Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR 2020 program. 


ICPR 2020

technical paper

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs

Outside-the-Box: Abstraction-Based Monitoring of Neural Networks

Span-based Joint Entity and Relation Extraction with Transformer Pre-training

Modeling the Incongruity between Sentence  Snippets for Sarcasm Detection

Dynamics in Abstract Argumentation Frameworks with Recursive Attack and Support Relations

Analysis of reduced costs filtering for alldifferent and minimum weight alldifferent global constraints

Automatic Generation of Typicality Measures for Spatial Language in Grounded Settings

Speeding Up CDCL Inference With Duplicate Learnt Clauses

PushNet: Efficient and Adaptive Neural Message Passing

Point Cloud Segmentation with Deep Reinforcement Learning

https://d3smihljt9218e.cloudfront.net/transcript/1122/subtitle/9fcac11d936afb26cf4871d56d098ed7.vtt

English (automatic)

New randomized strategies for the color coding algorithm

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MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs

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A Randomized Algorithm for Sparse Recovery

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New randomized strategies for the color coding algorithm

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Next from ECAI 2020

MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs

Similar lecture

A Randomized Algorithm for Sparse Recovery

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

Downloads