An illustrative representation of the algorithm.Matthew L. WallaceVincent LarivièreYves Gingras
The seriousness of this distortion might not be revealed by examination of a matrix correlation co-efficient. A method is described and illustrated for reducing distortion and improving the representation by an ordination of resemblance distances.doi:10.2307/1221495...
An algorithm of object-oriented program comprehension and description is proposed in this paper. This methodology represents the program structure in visual form. Firstly, the code is analyzed. With the code analysis of compiling technique, knowledge related to the program structure can be concluded....
f, Neural network architecture of deep RL agents trained with the SAC algorithm. πθ is a policy, defined as an action probability given a state and parameterized by θ. Qφ is an action value for a given state–action pair and parametrized by φ. g, Schematic of the behavior paradigm ...
Self-supervised Learning-based Tomography via Sinogram Synthesis and PredictionCoIL: Coordinate-based Internal Learning for Imaging Inverse ProblemsDynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion FieldsStreak artifacts reductionalgorithm using an implicit neural...
In this paper, we propose an improved sparse representation based classification algorithm. Firstly, for a discriminative representation, a non-negative constraint of sparse coefficient is added to sparse representation problem. Secondly, Mahalanobis distance is employed instead of Euclidean distance to ...
Hippocampal place cells represent the position of a rodent within an environment. In addition, recent experiments show that the CA1 subfield of a passive observer also represents the position of a conspecific performing a spatial task. However, whether this representation is allocentric, egocentric or...
The Aika algorithm processes all changes in the network asynchronously as time-ordered events. Whenever a neuron exceeds its activation threshold, this is recorded as an event in a queue. The algorithm then processes these events sequentially. This creates a clear temporal order in which activations...
The trick to using the algorithm efficiently is to not run it on full-sized data. The fine detail of an image is all thrown away, so you should scale your images down before running BlurHash on them. If you are creating thumbnails, run BlurHash on those instead of the full images. ...
To construct the domain D, the main procedure involves an algorithm for computing the K¨ahler cone of a given toric variety X. The procedures SubsetsMinus1 and SetOfAllSubsets which are also involved in the al- gorithm, can be regarded as auxiliary. The input data of SubsetsMinus1 is ...