Zobrazeno 1 - 10
of 68 201
pro vyhledávání: '"A, Husain"'
Exploiting both audio and visual modalities for video classification is a challenging task, as the existing methods require large model architectures, leading to high computational complexity and resource requirements. Smaller architectures, on the o
Externí odkaz:
http://arxiv.org/abs/2408.14441
The ubiquity of missing data has sparked considerable attention and focus on tabular data imputation methods. Diffusion models, recognized as the cutting-edge technique for data generation, demonstrate significant potential in tabular data imputation
Externí odkaz:
http://arxiv.org/abs/2407.18013
Global time is a gauge or relational choice of time variable in canonical gravity. Local time is the time used in a flat patch of spacetime. We compare the dynamics of a scalar field with respect to choices of global time and Minkowski patch time in
Externí odkaz:
http://arxiv.org/abs/2407.08283
Autor:
Valentine, Nyirahafashimana, Shah, Nurisya Mohd, Halim, Umair Abdul, Husain, Sharifah Kartini Said, Jellal, Ahmed
We develop a theory based on quasi-geometric (QG) approach to transform a small number of qubits into a larger number of error-correcting qubits by considering four different cases. More precisely, we use the 2-dimensional quasi-orthogonal complete c
Externí odkaz:
http://arxiv.org/abs/2407.07562
Autor:
Saeed, Mustafa, Husain, Viqar
We describe quantization schemes for scalar field cosmology in the metric variables with fundamental discreteness imposed with a lattice. The variables chosen for quantization determine the lattice, and each lattice produces distinct effective equati
Externí odkaz:
http://arxiv.org/abs/2407.08117
Autor:
Sultan, K M Arefeen, Hisham, Md Hasibul Husain, Orkild, Benjamin, Morris, Alan, Kholmovski, Eugene, Bieging, Erik, Kwan, Eugene, Ranjan, Ravi, DiBella, Ed, Elhabian, Shireen
The accurate evaluation of left atrial fibrosis via high-quality 3D Late Gadolinium Enhancement (LGE) MRI is crucial for atrial fibrillation management but is hindered by factors like patient movement and imaging variability. The pursuit of automated
Externí odkaz:
http://arxiv.org/abs/2407.07254
Autor:
Husain, Syed Zahid, Separovic, Leo, Caron, Jean-François, Aider, Rabah, Buehner, Mark, Chamberland, Stéphane, Lapalme, Ervig, McTaggart-Cowan, Ron, Subich, Christopher, Vaillancourt, Paul A., Yang, Jing, Zadra, Ayrton
Operational meteorological forecasting has long relied on physics-based numerical weather prediction (NWP) models. Recently, this landscape is facing disruption by the advent of data-driven artificial intelligence (AI)-based weather models, which off
Externí odkaz:
http://arxiv.org/abs/2407.06100
Autor:
Nadeem, Asmar, Sardari, Faegheh, Dawes, Robert, Husain, Syed Sameed, Hilton, Adrian, Mustafa, Armin
Existing video captioning benchmarks and models lack coherent representations of causal-temporal narrative, which is sequences of events linked through cause and effect, unfolding over time and driven by characters or agents. This lack of narrative r
Externí odkaz:
http://arxiv.org/abs/2406.06499
Generative Adversarial Networks (GANs) have high computational costs to train their complex architectures. Throughout the training process, GANs' output is analyzed qualitatively based on the loss and synthetic images' diversity and quality. Based on
Externí odkaz:
http://arxiv.org/abs/2405.20987
Classification with rejection emerges as a learning paradigm which allows models to abstain from making predictions. The predominant approach is to alter the supervised learning pipeline by augmenting typical loss functions, letting model rejection i
Externí odkaz:
http://arxiv.org/abs/2405.18686