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Feb 8, 2011 · I have always been fascinated with people who live deep in the Pines.I know things have changed alot since John McPhee's book,where he talks about Fred Brown in Hog Wallow,now many …
Feb 8, 2011 · I have always been fascinated with people who live deep in the Pines.I know things have changed alot since John McPhee's book,where he talks about Fred Brown in Hog Wallow,now many …
A deep neural network (DNN)-based model has been developed to predict non-parametric distributions of durations of phonemes in specified phonetic contexts and used to explore which factors influence durations most. Major factors in US English are pre...
Robotic grasp detection task is still challenging, particularly for novel objects. With the recent advance of deep learning, there have been several works on detecting robotic grasp using neural networks. Typically, regression based grasp detection m...
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We present studies of single-spin asymmetries for neutral pion electroproduction in semi-inclusive deep-inelastic scattering of 5.776 GeV polarized electrons from an unpolarized hydrogen target, using the CEBAF Large Acceptance Spectrometer (CLAS) at...
The target and double spin asymmetries of the exclusive pseudoscalar channel $\vec e\vec p\to epπ^0$ were measured for the first time in the deep-inelastic regime using a longitudinally polarized 5.9 GeV electron beam and a longitudinally polarized...
Single-beam, single-target, and double-spin asymmetries for hard exclusive photon production on the proton $\vec{e}\vec{p} \to e' p'γ$ are presented. The data were taken at Jefferson Lab using the CLAS detector and a longitudinally polarized ${}^{14...
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods. (⭐ 520)
Quantum machine learning models incorporating data re-uploading circuits have garnered significant attention due to their exceptional expressivity and trainability. However, their ability to generate accurate predictions on unseen data, referred to a...
A technical report on convolution arithmetic in the context of deep learning (⭐ 14635)
While real-world problems are often challenging to analyze analytically, deep learning excels in modeling complex processes from data. Existing optimization frameworks like CasADi facilitate seamless usage of solvers but face challenges when integrat...
Human motion prediction is a necessary component for many applications in robotics and autonomous driving. Recent methods propose using sequence-to-sequence deep learning models to tackle this problem. However, they do not focus on exploiting differe...
In adversarial machine learning, new defenses against attacks on deep learning systems are routinely broken soon after their release by more powerful attacks. In this context, forensic tools can offer a valuable complement to existing defenses, by tr...
In mid-2025, Iran experienced a novel, stealthy Internet shutdown that preserved global routing presence while isolating domestic users through deep packet inspection, aggressive throttling, and selective protocol blocking. This paper analyzes active...
roughly similar vocal pitches, but during puberty the male voice typically deepens an octave, while the female voice gradually becomes richer. A similar effect
Variational Autoencoder (VAE) is widely used as a generative model to approximate a model's posterior on latent variables by combining the amortized variational inference and deep neural networks. However, when paired with strong autoregressive decod...
Feb 25, 2026 · BART ridership continued its slow rebound in January with more riders returning to the rail system, even as the transit agency faces deep financial uncertainty.
After a deepdive down the rabbithole of sub €1.000 watches, I finally bought the Tissot Gentleman, and this is (A) why and (B) how I experience it on wrist. Disclaimer: I am Belgian, so do forgive ...
This paper is essentially a verbatim reconstruction of lectures that I gave at the Los Alamos School on Relativistic Dynamics and Quark Nuclear Physics in 1985. They were published in the school proceedings, but the book is not widely available. The...
Tags: deep-learning, neural-network, conv-neural-network, image-segmentation, medical | Score: 0