Browsing Electronic Engineering and Computer Science by Title
Now showing items 1681-1700 of 3387
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Learning Bayesian Networks with the Saiyan algorithm
(Association for Computing Machinery, 2020-02)Some structure learning algorithms have proven to be effective in reconstructing hypothetical Bayesian Network (BN) graphs from synthetic data. However, in their mission to maximise a scoring function, many become conservative ... -
Learning Behavioural Context
(2011-08-27) -
Learning by Demonstration and Robust Control of Dexterous In-Hand Robotic Manipulation Skills
(IEEE, 2019)Dexterous robotic manipulation of unknown objects can open the way to novel tasks and applications of robots in semi-structured and unstructured settings, from advanced industrial manufacturing to exploration of harsh ... -
Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection
Detecting OOD inputs is crucial to deploy machine learning models to the real world safely. However, existing OOD detection methods require an in-distribution (ID) dataset to retrain the models. In this paper, we propose ... -
Learning Deep Features for Robotic Inference from Physical Interactions
(Institute of Electrical and Electronics Engineers, 2022-02-17)In order to effectively handle multiple tasks that are not pre-defined, a robotic agent needs to automatically map its high-dimensional sensory inputs into useful features. As a solution, feature learning has empirically ... -
Learning Frame Similarity using Siamese networks for Audio-to-Score Alignment
Audio-to-score alignment aims at generating an accurate mapping between a performance audio and the score of a given piece. Standard alignment methods are based on Dynamic Time Warping (DTW) and employ handcrafted features, ... -
Learning Frequency Domain Priors for Image Demoireing.
(IEEE, 2021-09-24)Image demoireing is a multi-faceted image restoration task involving both moire pattern removal and color restoration. In this paper, we raise a general degradation model to describe an image contaminated by moire patterns, ... -
Learning from Disagreement: A Survey
(2021) -
Learning from Label Relationships in Human Affect
(2022-10-10)Human affect and mental state estimation in an automated manner, face a number of difficulties, including learning from labels with poor or no temporal resolution, learning from few datasets with little data (often due to ... -
Learning hybrid ranking representation for person re-identification
(Elsevier, 2021-08-01)Contemporary person re-identification (re-id) methods mostly compute independentlya feature representation of each person image in the query set and the gallery set. This strategy fails to consider any ranking context ... -
Learning like human annotators: Cyberbullying detection in lengthy social media sessions
(2023-04-30)The inherent characteristic of cyberbullying of being a recurrent attitude calls for the investigation of the problem by looking at social media sessions as a whole, beyond just isolated social media posts. However, the ...