Displaying 138 resources
Deep Object Detection
Recently, Convolutional Neural Networks (CNNs) have been used for object/target (e.g., face, person, car, pedestrian, road sign) detection with great results.
Self-awareness for autonomous systems
Self-awareness is a broad concept borrowed from cognitive science and psychology that describes the property of a system, which has knowledge of “itself,” based on its own senses and internal models.
Deep Autoencoders
This lecture overviews Deep Autoencoders that has many applications in image denoising, classification, generation and in object pose estimation.
Intelligent Monitoring and Control of Interconnected Cyber-Physical Systems
The emergence of interconnected cyber-physical systems and sensor/actuator networks has given rise to advanced automation applications, where a large amount of sensor data is collected and processed in order to make suitable real-time decisions and
Neural Speech Recognition
This lecture overviews Neural Speech Recognition is a special case of Automatic Speech Recognition (ASR), i.e., the transcription of speech to text that has many applications e.g., in call centers, dictation, meeting minutes creation, Smart assistant
Introduction to Signals and Systems
This lecture overviews Signals and Systems. 1D signals, 2D signals (images), 3D signals (videos, medical volumes) are presented. Multichannel signals come next.
Wireless Communication Networks
This lecture overviews Wireless Communication Networks that has many applications in autonomous systems.
Real-like MAX-SAT Instances and the Landscape Structure Across the Phase Transition
In contrast with random uniform instances, industrial SAT instances of large size are solvable today by state-of-the-art algorithms.
Other
MOBISERV-AIIA Database
Introduction
Eating and Drinking Activity Recognition Database (MOBISERV-AIIA Database) was created in order to fulfill the need for a good benchmarking database for the evaluation of specialized meal intake (such as eating and drinking) activity rec
Introduction to Kubernetes
Lecture by Prof. Lorentzo Carnevale.
Uploaded by Aristotle University of Thessaloniki.
Link to video
Hypothesis Testing
This lecture overviews Hypothesis Testing that has many applications in statistics and pattern recognition.
3D Image Processing
This lecture overviews 3D Image Processing, 3D volume filtering, (e.g., 3D moving average filter, 3D median filters), 3D mathematical morphology operators, anisotropic diffusion, 3D volume interpolation and 3D histogram equalization, 3D volume