Classification is based on identifying unique features (and/or combinations thereof) within the image data and determining whether the identified features indicate the object belongs to a class of known objects
However,just as is the case in the binary- valued version of RULEX, when multiple dimensions compose the objects, the exceptions that are stored could consist of subsets of dimensions of the complete exem- plars.) Following previous work, we assume that the prob- ability that the exception ...
As a consequence, the Green's function is ill-defined at those points [3]. These special points are known as pole-skipping points. They were first discovered in energy density retarded two-point functions, where they were shown to be related to behavior of out-of-time-order correlators (...
While the different components of the developed approach (like trajectory partitioning, clustering, convolutional neural networks) are all well-known, we emphasise that the overall architecture combining these components is new for semi-supervised activity recognition especially utilising indoor trajectory ...
The word embedding is designed to capture semantic similarity of words. The embeddings are meaningful real-valued vectors of configurable dimension, and semantically similar words usually have close embedding vectors. Neural language modeling tools such as word2vec [48] can learn embedding vectors from...
This Resnet101-9 ensemble model proposed in this study accurately and efficiently classified microscopic images as ALL. The first contribution of this study is the confirmation that an appropriate combination of algorithm hyperparameters for a pre-trained Resnet-101 model can obtain high image classif...
known as snapshots. After saving the snapshot models, the learning rate is increased to bring the optimizer out of the basin and again converging it to other local minima. Note that the model has different initializations when the learning rate is increased again and it reaches a different ...
Dry AMD is classified into three grades: early, intermediate, and late dry AMD, also known as geographic atrophy (GA), where blind spots appear first in the parafoveal area, then consolidate and grow to include the foveal center, resulting in significant central vision loss (Fletcher et al.20...
As is often the case for classification problems in algebraic geometry, the problem can be broken down into two steps. First, we search for a discrete invariant which provides an initial coarse classification of the objects. Then, for each fixed value of the invariant, we search for an ...
The system also applies to the analysis of objects or industrial processes, as long as one has available signals or images collected by sensors. A few examples are given below: Quality control of manufactured objects or products: the aim is to verify the shape and/or position of objects, to...