Spain

ECAI 2020

Maximum Entropy Reinforced Single Object Visual Tracking

visual tracking

maximum entropy

reinforcement learning

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. AAAI-23 is the Thirty-Seventh AAAI Conference on Artificial Intelligence. The theme of this conference is to create collaborative bridges within and beyond AI. Like previous AAAI conferences, AAAI-23 will feature technical paper presentations, special tracks, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, and two new activities: a Bridge Program and a Lab Program. Many of these activities are tailored to the theme of bridges and all are selected according to the highest standards, with additional programs for students and young researchers. 
AAAI is providing you with a conference planner, which you can use to help organize your itinerary of activities. This includes talks to attend in person, talks to attend remotely, breaks with colleagues and your site seeing activities. To access this conference planner, please go to [https://aaai-2023.takemobi.io](https://aaai-2023.takemobi.io).

In order to access this site, you need to register. If you haven't already, please register [here](https://aaai.org/Conferences/AAAI-23/registration/).


AAAI 2023

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines.

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!

Preprocessing in Incomplete MaxSAT Solving

Resilient Distributed Constraints Optimization in Physical Multi-Agent Systems

Committee Selection with Multimodal Preferences

Consolidating Modal Knowledge Bases

Finding Quantum Critical Points with Neural-Network Quantum States

Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description

Necessary and Sufficient Conditions for Actual Root Causes

Multiwinner Rules with Variable Number of Winners

Relational Neural Machines

On the Reasons Behind Decisions

https://d3smihljt9218e.cloudfront.net/transcript/1196/subtitle/fdedbdaf11b3d56c0d24f298325be380.vtt

English (automatic)

Maximum Entropy Reinforced Single Object Visual Tracking

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Preprocessing in Incomplete MaxSAT Solving

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Maximum Entropy Reinforced Single Object Visual Tracking

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Next from ECAI 2020

Preprocessing in Incomplete MaxSAT Solving

Similar lecture

Anti-drifting Feature Selection via Deep Reinforcement Learning

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

Downloads