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检索条件"主题词=autoencoder"
4258 条 记 录,以下是4121-4130 订阅
排序:
AN ITERATIVE REPRESENTATION LEARNING FRAMEWORK TO PREDICT THE SEQUENCE OF EYE FIXATIONS
AN ITERATIVE REPRESENTATION LEARNING FRAMEWORK TO PREDICT TH...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Xia, Chen Qi, Fei Shi, Guangming Xidian Univ Sch Elect Engn Xian 710071 Shaanxi Peoples R China
Visual attention is a dynamic search process of acquiring information. However, most previous studies have focused on the prediction of static attended locations. Without considering the temporal relationship of fixat... 详细信息
来源: 评论
Combating Adversarial Inputs Using a Predictive-Estimator Network  24th
Combating Adversarial Inputs Using a Predictive-Estimator Ne...
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24th International Conference on Neural Information Processing (ICONIP)
作者: Orchard, Jeff Castricato, Louis Univ Waterloo Cheriton Sch Comp Sci Waterloo ON Canada
Deep classification networks have shown great accuracy in classifying inputs. However, they fall prey to adversarial inputs, random inputs chosen to yield a classification with a high confidence. But perception is a t... 详细信息
来源: 评论
Deep Learning Models for Bone Suppression in Chest Radiographs
Deep Learning Models for Bone Suppression in Chest Radiograp...
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IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
作者: Gusarev, Maxim Kuleev, Ramil Khan, Adil Rivera, Adin Ramirez Khattak, Asad Masood Innopolis Univ Dept Comp Sci Innopolis Russia Univ Estadual Campinas Inst Comp Campinas SP Brazil Zayed Univ Coll Technol Innovat Abu Dhabi U Arab Emirates
Bone suppression in lung radiographs is an important task, as it improves the results on other related tasks, such as nodule detection or pathologies classification. In this paper, we propose two architectures that su... 详细信息
来源: 评论
Gate Activation Signal Analysis for Gated Recurrent Neural Networks and Its Correlation with Phoneme Boundaries  18
Gate Activation Signal Analysis for Gated Recurrent Neural N...
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18th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2017)
作者: Wang, Yu-Hsuan Chung, Cheng-Tao Lee, Hung-yi Natl Taiwan Univ Coll Elect Engn & Comp Sci Taipei Taiwan
In this paper we analyze the gate activation signals inside the gated recurrent neural networks, and find the temporal structure of such signals is highly correlated with the phoneme boundaries. This correlation is fu... 详细信息
来源: 评论
Human Identity Recognition using Sparse Auto Encoder for Texture Information Representation in Palmprint Images Based on Voting Technique
Human Identity Recognition using Sparse Auto Encoder for Tex...
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Sudan Conference on Computer Science and Information Technology (SCCSIT)
作者: Elgallad, Elaraby A. Charfi, Nesrine Ouarda, Wael Alimi, Adel M. Univ Tabuk Informat Technol Tabuk Saudi Arabia ENIS REs Grp Intelligent Machines BP 1173 Sfax 3038 Tunisia
Nowadays, biometric systems are used for the security and personal recognition. The palmprint trait is one among the most confident physiological modalities that can be used to recognize human identity. The biggest ad... 详细信息
来源: 评论
DEEP NEURAL NETWORKS ON GRAPH SIGNALS FOR BRAIN IMAGING ANALYSIS  24
DEEP NEURAL NETWORKS ON GRAPH SIGNALS FOR BRAIN IMAGING ANAL...
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24th IEEE International Conference on Image Processing (ICIP)
作者: Guo, Yiluan Nejati, Hossein Cheung, Ngai-Man SUTD Singapore 487372 Singapore
Brain imaging data such as EEG or MEG are high-dimensional spatiotemporal data often degraded by complex, non-Gaussian noise. For reliable analysis of brain imaging data, it is important to extract discriminative, low... 详细信息
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Diagnosis of Cirrhosis Stage via Deep Neural Network
Diagnosis of Cirrhosis Stage via Deep Neural Network
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Biological Ontologies and Knowledge Bases Workshop at IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM)
作者: Xu, Zhiping Liu, Xiang Cheng, Xi En Song, Jia Lin Zhang, Jian Quan Fudan Univ Sch Comp Sci Shanghai Key Lab Intelligent Informat Proc Shanghai Peoples R China Shanghai Univ Engn Sci Sch Elect & Elect Engn Shanghai Peoples R China Jingdezhen Ceram Inst Jingdezhen Peoples R China Second Mil Med Univ Changzheng Hosp Dept Ultrasound Shanghai Peoples R China
This paper proposes a novel fully automatic diagnosis method for liver cirrhosis based on the reading of high-frequency ultrasound images. The proposed method determines the cirrhosis stage via a deep-learning neural ... 详细信息
来源: 评论
INCLUSION OF MANNER OF ARTICULATION TO ACHIEVE IMPROVED PHONEME CLASSIFICATION ACCURACY FOR BENGALI CONTINUOUS SPEECH  20
INCLUSION OF MANNER OF ARTICULATION TO ACHIEVE IMPROVED PHON...
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20th Conference of the Oriental-Chapter-of-the-International-Coordinating-Committee-on-Speech-Databases-and-Speech-I/O-Systems-and-Assessment (O-COCOSDA)
作者: Bhowmik, Tanmay Mandal, Shyamal Kumar Das Univ Petr & Energy Studies SOCSE Dehra Dun Uttar Pradesh India IIT Kharagpur CET Kharagpur W Bengal India
In this experiment, a phoneme classification model has been developed using a Deep Neural Network based framework. The experiment is conducted in two phases. In the first phase, phoneme classification task has been pe... 详细信息
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NEURAL NETWORK HYPERSPECTRAL UNMIXING WITH SPECTRAL INFORMATION DIVERGENCE OBJECTIVE  37
NEURAL NETWORK HYPERSPECTRAL UNMIXING WITH SPECTRAL INFORMAT...
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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
作者: Palsson, Frosti Sigurdsson, Jakob Sveinsson, Johannes R. Ulfarsson, Magnus O. Univ Iceland Fac Elect & Comp Engn Hjardarhagi 2-6 IS-107 Reykjavik Iceland
Hyperspectral unmixing is a challenging inverse problem that involves determining the fractional abundances of the representive material (endmembers) in each pixel. In this paper, we develop a neural network autoencod... 详细信息
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Using deep networks for fraud detection in the credit card transactions  4
Using deep networks for fraud detection in the credit card t...
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IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI)
作者: Kazemi, Zahra Zarrabi, Houman Islamic Azad Univ Sci & Res Tehran Iran Iran ICT Res Ctr Sci & Res Tehran Iran
Deep learning is a very noteworthy technic that is take into consideration in the several fields. One of the most attractive subjects that need more attention in the prediction accuracy is fraud detection. As the deep... 详细信息
来源: 评论