[PDF] Top 20 Deep convolution neural network for image recognition
Has 10000 "Deep convolution neural network for image recognition" found on our website. Below are the top 20 most common "Deep convolution neural network for image recognition".
Deep convolution neural network for image recognition
... medical image analysis namely microscopic analyses are made to confirm or not the existence of the epidemic pathogen in suspected ...efficient Convolution Neural Network (CNN) architecture in ... Voir le document complet
13
Deep-neural network approaches for speech recognition with heterogeneous groups of speakers including children
... especially for younger chil- dren (Wilpon and Jacobsen, 1996; Claes, Dologlou, ten Bosch, and Compernolle, 1998; Das, Nix, and Picheny, 1998; Li and Russell, 2001; Giuliani and Gerosa, 2003; Potamianos and ... Voir le document complet
27
Characterization of deep neural network feature space for inverse synthetic aperture radar automatic target recognition
... train neural networks in this ...generated for over forty different targets at a variety of conditions including different aspect angle and motion ...chosen. For each target, the simulation was ... Voir le document complet
36
Deep neural network adaptation for children's and adults' speech recognition
... Table 2: Phone error rate achieved with the DNN-HMM trained on a mixture of adult and children’s speech and adapted to speficic age/gender groups. adult female speech in APASCI and adult male speech in APASCI) and ... Voir le document complet
6
Contributions to handwriting recognition using deep neural networks and quantum computing
... universe for a reasonably-sized quantum computer of several hundreds of ...classical neural networks obtain state of the art performance for many tasks, while work on quantum neural networks ... Voir le document complet
196
Mitigating Bias in Gender, Age and Ethnicity Classification: a Multi-Task Convolution Neural Network Approach
... The Facenet library includes an implementation of detection, alignment and landmark estimation, as proposed by Zhang et al, [33] which we use for pre- processing for our images. The output of our proposed ... Voir le document complet
14
Physics-based Deep Neural Network for Augmented Reality during Liver Surgery
... layer for a padded input grid of size 32 × 40 × 16 × ...transposed convolution followed by two padded 3 × 3 × 3 ...structure for storing displacement ... Voir le document complet
9
Deep neural network based multichannel audio source separation
... 3 challenge organizers 3 [47, 62]. It includes the use of (a) feature-space maximum likelihood regression features [63]; (b) acoustic models based on Gaussian Mixture Model and DNN trained with the cross entropy ... Voir le document complet
31
Single-Image SVBRDF Capture with a Rendering-Aware Deep Network
... our deep learning approach predicts a spatially-varying ...materials for animations with a moving ...single image based on such cues has challenged researchers in com- puter graphics for ...a ... Voir le document complet
16
Image and video text recognition using convolutional neural networks
... Convolutional Neural Networks (CNNs). A Convolutional Neural Network is a connectionist model inspired by biological findings on the visual system of ...used for handwritten digit ...pattern ... Voir le document complet
178
Deep Neural Network Model of Hearing-Impaired Speech-in-Noise Performance
... accounts for the complex interactions between different hearing damage mechanisms and simulates human speech-in-noise ...proxy for human ...a deep neural network (DNN) ...compensate ... Voir le document complet
19
Representational Content of Oscillatory Brain Activity during Object Recognition: Contrasting Cortical and Deep Neural Network Hierarchies
... of neural populations and their interactions? For example, a sustained phase component (such as the broadband component in clus- ter 2) means that for some extended period of time (here, roughly ... Voir le document complet
15
End-to-End Deep Neural Network Design for Short-term Path Planning
... a deep neural network architecture inspired by DroNet for short-term path planning which is to predict a sequence of steering angles directly from an image obtained by forward camera, ... Voir le document complet
7
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
... averaged for each object, i and j index the objects, cov indicates the covariance between the vectors and var the variance of the ...the neural sample, we computed the split-half consistency between one ... Voir le document complet
19
Contributions to handwriting recognition using deep neural networks and quantum computation
... universe for a reasonably-sized quantum computer of several hundreds of ...classical neural networks obtain state of the art performance for many tasks, while work on quantum neural networks ... Voir le document complet
196
RED-NN: Rotation-Equivariant Deep Neural Network for Classification and Prediction of Rotation
... transformation. For the case of Φ = 16 we observe a depth translation k of 4 ...cyclic convolution and translating over the axis Φ can see all possible rotations of the ...cyclic convolution operator ... Voir le document complet
12
Geodesic Convolutional Neural Network for 3D Deep-Learning based Surrogate Modeling and Optimization
... [3] Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodola, Jan Svoboda, and Michael M Bronstein. Geometric deep learning on graphs and manifolds using mixture model cnns. In Pro- ceedings of the IEEE ... Voir le document complet
2
New Paradigm in Speech Recognition: Deep Neural Networks
... (%) for the 11 shows obtained using the GMM-HMM and DNN-HMM KATS ...2012, deep learning has shown excellent results in many domains: image recognition, speech recognition, language ... Voir le document complet
8
Deep neural networks for audio scene recognition
... proposed for CASR, but the majority of the past work uses features that are well-known for struc- tured data, such as speech and ...information for unstructured environmental sound classifica- ...as ... Voir le document complet
6
Emotion Recognition with Deep Neural Networks
... contains image sequences, only the peak image is used in these experiments and the dynamic content is ...responsible for experimentation and validation of the proposed methodol- ...Multimodal ... Voir le document complet
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