Classification of acoustical signals by combining active learning strategies with semi-supervised learning schemes
In real-world cases, handling both labeled and unlabeled data has raised the interest of
several Data Scientists and Machine Learning engineers, leading to several demonstrations …
several Data Scientists and Machine Learning engineers, leading to several demonstrations …
Combining active learning with self-train algorithm for classification of multimodal problems
In real-world cases, handling of both labeled and unlabeled data has raised the interest of
several data scientists and Machine Learning engineers, leading to several demonstrations …
several data scientists and Machine Learning engineers, leading to several demonstrations …
Active learning for video classification with frame level queries
D Goswami, S Chakraborty - 2023 International Joint …, 2023 - ieeexplore.ieee.org
Deep learning algorithms have pushed the boundaries of computer vision research and
have depicted commendable performance in a variety of applications. However, training a …
have depicted commendable performance in a variety of applications. However, training a …
Investigation of combining logitboost (M5P) under active learning classification tasks
Active learning is the category of partially supervised algorithms that is differentiated by its
strategy to combine both the predictive ability of a base learner and the human knowledge …
strategy to combine both the predictive ability of a base learner and the human knowledge …
How to relate synchronized static videos between each other in an active learning set-up?
T Malon, S Chambon, A Crouzil, V Charvillat - Expert Systems with …, 2023 - Elsevier
In the context of investigations, understanding relationships between videos, such as
determining when fields of view are overlapping, can be useful to efficiently navigate …
determining when fields of view are overlapping, can be useful to efficiently navigate …
An Adaptive Human-in-the-loop Approach to Continuous Understanding of Additive Manufacturing Processes with Computer Vision
X Liu - 2024 - doras.dcu.ie
In Additive Manufacturing (AM), recent developments in in-situ monitoring and process
control allow the collection of large amounts of emissions data during the build and …
control allow the collection of large amounts of emissions data during the build and …
Active Sketch Scene Learning
E Yanık, TM Sezgin - Available at SSRN 4084576, 2022 - papers.ssrn.com
Sketch recognition allows natural and efficient interaction in pen-based interfaces. A key
obstacle to building accurate sketch recognizers has been the difficulty of creating large …
obstacle to building accurate sketch recognizers has been the difficulty of creating large …
Advances in Information Retrieval from Video Signal
P Pulc - Doctoral Research Days at FIT - janjecmen.github.io
Video is a quite fascinating modality. We, people, learn over our first years to understand the
environment around us at an incredible level of detail. Sure, we have “stereoscopic” vision …
environment around us at an incredible level of detail. Sure, we have “stereoscopic” vision …
[PDF][PDF] Temporal Concept Localization within Video using a Mixture of Context-Aware and Context-Agnostic Segment Classifiers
S Lee - 2019 - research.google.com
This paper describes my solution to the 3rd YouTube-8M Video Understanding Challenge.
To deal with the limited number of annotated segments, video-level models were pre-trained …
To deal with the limited number of annotated segments, video-level models were pre-trained …