led they had the sanctions done before this ever happened. tell people not to fly over this area. as a political pro you have been around, so i guess part of the question, is given everything we just discussed with them, is it always the same place? you ve interacted with some of the folks there? or do you see something more different and false in what they do today? well, you didn t have trump expose everything. we were living under some convolution there was a republican party that tended to not like regulation very much, that was pro tax cuts for the wealthy and kind of fiscally conservative not true, but demonstratively not true. be then trump exposed the whole thing. he just came along and blew the entire thing up. you know, o reilly had his own issues since that aired.
Freezing of Gait (FoG) is a common symptom of Parkinson’s disease (PD), manifesting as a brief, episodic absence, or marked reduction in walking, despite a patient’s intention to move. Clinical assessment of FoG events from manual observations by experts is both time-consuming and highly subjective. Therefore, machine learning-based FoG identification methods would be desirable. In this article, we address this task as a fine-grained human action recognition problem based on vision inputs. A novel deep learning architecture, namely, higher order polynomial transformer (HP-Transformer), is proposed to incorporate pose and appearance feature sequences to formulate fine-grained FoG patterns. In particular, a higher order self-attention mechanism is proposed based on higher order polynomials. To this end, linear, bilinear, and trilinear transformers are formulated in pursuit of discriminative fine-grained representations. These representations are treated as multiple streams and furthe
leading into this, things got really hot and really contentious between these two sides. and it would be probably, i think, honestly, a little confusing to people on the outside, really what the difference is, at the end of the day, between rana mcdaniel and hamit dylan and the my pillow ceo, but what did you see on the ground? it was an interesting battle lines forming between the three running mates. you had rana mcdaniel running for re-election. but you couldn t argue that she was the establishment figure. this is someone whose career had been made by donald trump. a lot of the people arguing against her included some pretty anti-trump figures. the support that came to back dylan was a mixture of people who both thought that mcdaniel was to blame for election losses, and some thought that she was not a credible figure going head to the 2024 primary. it was a kind of convolution of interest that led to the challenge against mcdaniel, but because this is a group that is
This work addresses the issue of spectrum sensing with random arrival and departure of primary signals. We first design a convolutional neural network (CNN) with outputs as the posterior probabilities of the arrival and departure of primary signals, leading to a CNN-based detector with the ratio of the posterior probabilities (i.e., the outputs of the CNN) as a test statistic. To further enhance the attention of the network on the switch feature of channel states, we design a switch attention module (SAM) that adaptively weights the received signals. Replacing the convolution plus maximum pooling block in the CNN detector with the SAM block leads to an SAM-CNN detector. Simulations show that the proposed CNN detector significantly outperforms existing detectors, and further improvement of detection probability by 19% is achieved by the SAM-CNN detector.
A weighted (Formula presented.) space is introduced and some of its properties are highlighted. This is done with the aim of defining a space such that the transform of a class of functions exists. Certain properties of a new class of discrete and integral transforms are highlighted, including the codomain of the transform being a set of continuous functions and continuity of the operator associated with the (Formula presented.) space. The shifting and convolution properties are introduced and it is proven that the weighted (Formula presented.) space is closed under the convolution operation. Several examples which fall in this class of transforms are given, including the Dirichlet series, the Z transform and the Laplace transform. Some conditions are stated which imply that any member of a class of discrete operators is injective. Following this, it is established that the weighted (Formula presented.) space is a Banach algebra where the convolution is the underlying product.