Spain

ECAI 2020

Foreground detection by probabilistic mixture models using semantic information from deep networks

probabilistic model

foreground segmentation

semantic segmentation

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!

ECAI 2020 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.

Exploiting Incomparability in Solution Dominance: Improving General Purpose Constraint-Based Mining

The Impact of Linguistic Knowledge in Different Strategies to Learn Cross-Lingual Distributional Models

Speeding up Word Mover’s Distance and its variants via properties of distances between embeddings

Learning First-Order Symbolic Representations from the Structure of the State Space

Evolutionary Bi-objective Optimization for the Dynamic Chance-Constrained Knapsack Problem Based on Tail Bound Objectives

Basic Utility Theory for Belief Functions

Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation

Mid-weight Image Super-Resolution with Bypass Connection Attention Network

Learning to Reuse Translations: Guiding Neural Machine Translation with Examples

Metric Learning for Ordered Labeled Trees with pq-grams

https://d3smihljt9218e.cloudfront.net/transcript/1046/subtitle/97f2dc6c04b4a3724b0817c2576ab340.vtt

English (automatic)

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Exploiting Incomparability in Solution Dominance: Improving General Purpose Constraint-Based Mining

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Next from ECAI 2020

Exploiting Incomparability in Solution Dominance: Improving General Purpose Constraint-Based Mining

Similar lecture

Joint Semantic-Instance Segmentation of 3D Point Clouds: Instance Separation and Semantic Fusion

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