The “deep learning” era (2010s until …),促使多模态研究发展的关键促成因素有4个,1)新的大规模多模态数据集,2)GPU快速计算,3)强大的视觉特征抽取能力,4)强大的语言特征抽取能力。 表示学习三篇参考文献 Multimodal Deep Learning [ICML 2011] Multimodal Learning with Deep Boltzmann Machines [NIPS 2012] ...
Multimodal Deep Learning Deep networks have been successfully applied to unsupervised feature learning for single modalities (e.g., text, images or audio). In this work, we propose... M Deep,L Library,N Survey - International Conference on Machine Learning 被引量: 4发表: 2011年 A survey of...
Deep networks have been successfully applied to unsupervised feature learning for single modalities (e.g., text, images or audio). In this work, we propose a novel application of deep networks to learn features over multiple modalities. We present a series of tasks for multimodal learning and ...
总结——A multimodal deep learning framework for predicting drug–drug interaction events DDIMDL首先利用药物的化学亚结构、靶点、酶和通路四类特征,分别构建基于深度神经网络的子模型,然后采用联合DNN框架将这些子模型组合起来,学习药物-药物对的跨模表征,预测DDI事件。 基于相似性的方法是这些方法中的一个主要类别...
multimodaldeeplearningmultimodal深学习 系统标签: multimodallearningdeepmodalitiesavlettersmodality MultimodalDeepLearning JiquanNgiam 1 ,AdityaKhosla 1 ,MingyuKim 1 ,JuhanNam 2 ,HonglakLee 3 ,AndrewY.Ng 1 1 ComputerScienceDepartment,StanfordUniversity {jngiam,aditya86,minkyu89,ang}@cs.stanford.edu 2 Dep...
In this paper, we present a joint compression and classification approach of EEG and EMG signals using a deep learning approach. Specifically, we build our system based on the deep autoencoder architecture which is designed not only to extract discriminant features in the multimodal data representati...
Deep learning model performance We observed that our fusion model provided the most accurate classification of cognitive status for NC, MCI, AD and nADD across a range of clinical diagnosis tasks (Table2). We found strong model performance on the COGNCtask between both the NACC test set (Fig...
nan 相关学科:Cross-Modal RetrievalVisual Question AnsweringMultimodal Emotion RecognitionMovement PredictionGamma Belief NetworkVideo Emotion RecognitionActivity SegmentationEfficientNetB0nnU-NetHand Gesture Classification 学科讨论 暂无讨论内容,你可以 推荐文献 ...
The achievement of the pathologic complete response (pCR) has been considered a metric for the success of neoadjuvant chemotherapy (NAC) and a powerful surrogate indicator of the risk of recurrence and long-term survival. This study aimed to develop a multimodal deep learning model that combined ...
论文地址:Deep learning in multimodal remote sensing data fusion: A comprehensive review 摘要 随着遥感(RS)技术的飞速发展,大量具有相当复杂异质性的地球观测(EO)数据随处可见,这为研究人员提供了以全新方式解决当前地球科学应用的机会。 近年来,随着地球观测数据的联合利用,多模态遥感数据融合研究取得了巨大进展,但...