Add to ORKGMany different matrix classes have been tackled recently using online learning techniques, but at least one major class has been left out: rotations. We pose the online learning of rotations as an open problem and discuss the importance of this prob-lem
The ability to imagine objects undergoing rotation (mental rotation) improves markedly with practice...
Optimizing over the set of orthogonal matrices is a central component in problems like sparse-PCA or...
Object rotation in 3-dimensional space (3D) is one of the most useful techniques in the field of com...
An algorithm is presented for online learning of rotations. The proposed algorithm involves matrix e...
It is unknown what is the most suitable regularization for rotation matrices and how to maintain unc...
This thesis considers two online matrix learning problems: the problem of online Principle Component...
Teaching matrix/vector methods for 3D kinematics and statics to undergraduates is challenging. While...
In this video I explain about rotation matrices.https://polimedia.upv.es/visor/?id=0b856800-41c0-11e...
Rotation matrices are a convenient and intuitive way to describe algebraically the relative orientat...
Transformations are integral part of graphics programs for visualization. Rotation transformations a...
We have developed an ensemble-based approach for online machine learning: adaptive rotation forest a...
Abstract Adaptation to visuomotor rotation is a particular form of motor learning distinct from forc...
There are four main parameterizations of the rotation group SO(3). Two of them (rotation angle and a...
A new method to represent and approximate rotation matrices is introduced. The method represents app...
This paper reviews recent progress in rotation invariant pattern recognition; the emphasis is on the...
The ability to imagine objects undergoing rotation (mental rotation) improves markedly with practice...
Optimizing over the set of orthogonal matrices is a central component in problems like sparse-PCA or...
Object rotation in 3-dimensional space (3D) is one of the most useful techniques in the field of com...
An algorithm is presented for online learning of rotations. The proposed algorithm involves matrix e...
It is unknown what is the most suitable regularization for rotation matrices and how to maintain unc...
This thesis considers two online matrix learning problems: the problem of online Principle Component...
Teaching matrix/vector methods for 3D kinematics and statics to undergraduates is challenging. While...
In this video I explain about rotation matrices.https://polimedia.upv.es/visor/?id=0b856800-41c0-11e...
Rotation matrices are a convenient and intuitive way to describe algebraically the relative orientat...
Transformations are integral part of graphics programs for visualization. Rotation transformations a...
We have developed an ensemble-based approach for online machine learning: adaptive rotation forest a...
Abstract Adaptation to visuomotor rotation is a particular form of motor learning distinct from forc...
There are four main parameterizations of the rotation group SO(3). Two of them (rotation angle and a...
A new method to represent and approximate rotation matrices is introduced. The method represents app...
This paper reviews recent progress in rotation invariant pattern recognition; the emphasis is on the...
The ability to imagine objects undergoing rotation (mental rotation) improves markedly with practice...
Optimizing over the set of orthogonal matrices is a central component in problems like sparse-PCA or...
Object rotation in 3-dimensional space (3D) is one of the most useful techniques in the field of com...