Results 321 to 330 of about 3,198,934 (350)

Multimodal GRU with directed pairwise cross-modal attention for sentiment analysis. [PDF]

Sci Rep
Qin Z, Luo Q, Zang Z, Fu H.
europepmc   +1 more source

Elucidating attentional mechanisms underlying value normalization in human reinforcement learning

Cecchi R, Palminteri S, Gluth S.
europepmc   +1 more source

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Homogeneous Binary Visual and Fluorescence Detection of Tetanus Toxoid in Clinical Samples Based on Enzyme-Free Parallel Hybrid Chain Reaction.

Nano letters (Print), 2022
Here, we report a simple aptamer-based toxoid test with both fluorescence and binary visual readouts. This test is established based on our recent finding that CdTe quantum dots could differentiate DNA templated Cu NPs from Cu2+.
Piaopiao Chen, Yunjin Bai, Shiyuan Tang, Nian Wang, Yaqin He, Ke Huang, Jin Huang, B. Ying, Yu Cao   +8 more
semanticscholar   +1 more source

Few-Shot Visual Classification Using Image Pairs With Binary Transformation

IEEE transactions on circuits and systems for video technology (Print), 2020
Accurately classifying images using few-shot samples have been widely explored by researchers. However, these methods have two drawbacks. First, images are often used independently.
Chunjie Zhang, Chenghua Li, Jian Cheng
semanticscholar   +1 more source

Statistical study of visual binaries

Astrophysics and Space Science, 1988
A statistical study of physical pairs from IDS catalogue has been performed. For 2811 binaries with luminosity class V primaries it has been found that their mass function is a Salpeter one; their distribution over semi-major axes of orbits is dN ∝ d log a. The rate of duplicity of stars is close to 1.
Z. Kraicheva, S. Vereshchagin, E. Popova, L. R. Yungelson, Alexander V. Tutukov   +4 more
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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

European Conference on Computer Vision, 2016
We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks. In Binary-Weight-Networks, the filters are approximated with binary values resulting in 32\(\times \) memory saving.
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi   +3 more
semanticscholar   +1 more source

On the Maximum Separation of Visual Binaries [PDF]

Journal of Astrophysics and Astronomy, 2012
In this paper, an efficient algorithm is established for computing the maximum (minimum) angular separation ρ max(ρ min), the corresponding apparent position angles ( $\theta|_{\rho_{\rm max}}$ ,
Mohamed I. Nouh, M. A. Sharaf
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Scalable Zero-Shot Learning via Binary Visual-Semantic Embeddings

IEEE Transactions on Image Processing, 2019
Zero-shot learning aims to classify the visual instances from unseen classes in the absence of training examples. This is typically achieved by directly mapping visual features to a semantic embedding space of classes (e.g., attributes or word vectors ...
Fumin Shen, Xiaoping Zhou, Jun Yu, Yang Yang, Li Liu, Heng Tao Shen   +5 more
semanticscholar   +1 more source