Results 211 to 220 of about 18,490 (262)
An Efficient Cross-Modal Interaction and Dynamic Fusion Network for Multimodal Breast Ultrasound Diagnosis. [PDF]
Wu X, Lan Y, Han L, Wang P.
europepmc +1 more source
PRISM: Feature-Guided Hierarchical Inpainting for Dual-Band Infrared Defective Pixel Clusters. [PDF]
Zhao X +7 more
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Chromatic differential confocal matrix-based 3D topography and hyperspectral imaging with deep learning for osteoarthritis grading. [PDF]
Zou X +5 more
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Haptic Signal Reconstruction for Cross-Modal Communications [PDF]
Xin Wei
exaly +2 more sources
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The Modality of Reconstruction in ‘Immodithymia’
Psychopathology, 2010We studied the modality of reconstruction in the depressive patients whose premorbid personality presents ‘immodithymia’. The patients try to pursue the reconstruction limitlessly in obsessive ways. That is, there is no discharge from their reconstruction, and the limitless succession of reconstruction supports the patients’ existence. The hindrance of
M, Nakaya, K, Ohmori
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A judgmental reconstruction of modal logic
Mathematical Structures in Computer Science, 2001We reconsider the foundations of modal logic, following Martin-Löf's methodology of distinguishing judgments from propositions. We give constructive meaning explanations for necessity and possibility, which yields a simple and uniform system of natural deduction for intuitionistic modal logic that does not exhibit anomalies found in other proposals. We
Frank Pfenning, Rowan Davies
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Collective Reconstructive Embeddings for Cross-Modal Hashing
IEEE Transactions on Image Processing, 2019In this paper, we study the problem of cross-modal retrieval by hashing-based approximate nearest neighbor (ANN) search techniques. Most existing cross-modal hashing work mainly addresses the issue of multi-modal integration complexity using the same mapping and similarity calculation for data from different media types.
Mengqiu Hu +5 more
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Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction
Multi-modal magnetic resonance imaging (MRI) plays a crucial role in comprehensive disease diagnosis in clinical medicine. However, acquiring certain modalities, such as T2-weighted images (T2WIs), is time-consuming and prone to be with motion artifacts. It negatively impacts subsequent multi-modal image analysis.
Zhijie Wen, Shihui Ying, Jun Shi
exaly +6 more sources

