Results 101 to 110 of about 1,478,961 (356)

MHTN: Modal-adversarial Hybrid Transfer Network for Cross-modal Retrieval [PDF]

arXiv, 2017
Cross-modal retrieval has drawn wide interest for retrieval across different modalities of data. However, existing methods based on DNN face the challenge of insufficient cross-modal training data, which limits the training effectiveness and easily leads to overfitting.
arxiv  

Improving Discriminative Multi-Modal Learning with Large-Scale Pre-Trained Models [PDF]

arXiv, 2023
This paper investigates how to better leverage large-scale pre-trained uni-modal models to further enhance discriminative multi-modal learning. Even when fine-tuned with only uni-modal data, these models can outperform previous multi-modal models in certain tasks. It's clear that their incorporation into multi-modal learning would significantly improve
arxiv  

Lawvere-Tierney sheafification in Homotopy Type Theory

Journal of Formalized Reasoning, 2016
Sheafification is a popular tool in topos theory which allows to extend the internal logic of a topos with new principles. One of its most famous applications is the possibility to transform a topos into a boolean topos using the dense topology, which ...
Kevin Quirin, Nicolas Tabareau
doaj   +1 more source

Energy dependence of the GAFCHROMIC LD‐V1 in the diagnostic radiographic modalities

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract The GAFCHROMIC LD‐V1 radiochromic film is widely used in dosimetry because it can provide high‐resolution two‐dimensional dose distributions without processing. This study aimed to evaluate the response characteristics at different effective energies, from the low‐energy range of mammography to the high‐energy range of computed tomography. Net
Tatsuhiro Gotanda, Tomoyuki Hasuo, Shinnosuke Nishihara, Kohsei Matsuura, Yasuyuki Kawaji, Hidetoshi Yatake, Shinya Imai, Takuya Akagawa, Nobuyoshi Tanki, Toshizo Katsuda   +9 more
wiley   +1 more source

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration [PDF]

arXiv, 2023
Multi-modal Large Language Models (MLLMs) have demonstrated impressive instruction abilities across various open-ended tasks. However, previous methods primarily focus on enhancing multi-modal capabilities. In this work, we introduce a versatile multi-modal large language model, mPLUG-Owl2, which effectively leverages modality collaboration to improve ...
arxiv  

Radiotherapy medical physics in the Philippines: A contemporary overview

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose With cancer ranking as the third leading cause of death in the Philippines and a disparity in healthcare resources across regions, this research aimed to assess the state of radiotherapy medical physics in the country. Methodology The study utilized a comprehensive online survey with 94 structured questions answered by 19 clinics ...
John Paul C. Cabahug, Ramon Carlo Cruzpero, Luis E. Fong de los Santos, Eric C. Ford, Afua A. Yorke   +4 more
wiley   +1 more source

Topological Modal Logics with Difference Modality [PDF]

Topological modal logics with difference modality. Advances in Modal Logic, Volume 6,pp 319-332, 2006, 2010
We consider propositional modal logic with two modal operators $\Box$ and $\D$. In topological semantics $\Box$ is interpreted as an interior operator and $\D$ as difference. We show that some important topological properties are expressible in this language. In addition, we present a few logics and proofs of f.m.p. and of completeness theorems.
arxiv  

Insights into educational attainment: Maya City Grade 12 National Examination outcomes

Cogent Education
This research delves into the educational landscape in Maya City Secondary Schools, focusing on the outcomes of the Grade 12 National Examination through a mixed-method case study approach.
Chala Mosisa, Yilfashewa Seyoum Mekuria, Bayisa Eshetu   +2 more
doaj   +1 more source

LRMM: Learning to Recommend with Missing Modalities

, 2018
Multimodal learning has shown promising performance in content-based recommendation due to the auxiliary user and item information of multiple modalities such as text and images.
Li, Hui, Niepert, Mathias, Wang, Cheng
core   +1 more source

Accuracy and reproducibility of a single‐pose image‐to‐robot registration method for mobile C‐arm cone beam CT guided histotripsy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Histotripsy is a focal tumor therapy that utilizes focused ultrasound (US) to mechanically destroy tissue. To overcome visualization limitations of diagnostic US‐guidance, C‐arm cone beam CT (CBCT)‐guided histotripsy is being developed, for which a mobile C‐arm could increase accessibility. CBCT‐guided histotripsy uses a phantom with a
Grace M. Minesinger, Paul F. Laeseke, Katrina L. Falk, Claire E. Hennen, Michael A. Speidel, Martin G. Wagner   +5 more
wiley   +1 more source