• Aucun résultat trouvé

[PDF] Top 20 An Efficient Human Activity Recognition Technique Based on Deep Learning

Has 10000 "An Efficient Human Activity Recognition Technique Based on Deep Learning" found on our website. Below are the top 20 most common "An Efficient Human Activity Recognition Technique Based on Deep Learning".

An Efficient Human Activity Recognition Technique Based on Deep Learning

An Efficient Human Activity Recognition Technique Based on Deep Learning

... new deep learning-based human activity recognition ...extract human body from each frame of the video stream. Next, we abstract human silhouettes and use them to ... Voir le document complet

15

Activity Recognition for a Smartphone and Web-Based Human Mobility Sensing System

Activity Recognition for a Smartphone and Web-Based Human Mobility Sensing System

... play an important role since mobility choices ...activities. Activity based models, which have been gain- ing popularity in recent years, are built from a large num- ber of observed trips and their ... Voir le document complet

10

A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data

A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data

... Introduction Human Action Recognition or HAR for short, plays a crucial role in many computer vision applications such as intelligent surveillance, human-computer interaction or ...the human ... Voir le document complet

17

Variance Based Samples Weighting for Supervised Deep Learning

Variance Based Samples Weighting for Supervised Deep Learning

... Machine Learning (ML) model is used to learn from data, the distribution of the training data set can have a strong impact on its ...of Deep Learning (DL), several works have hinted at the importance ... Voir le document complet

23

Exploiting deep residual networks for human action recognition from skeletal data

Exploiting deep residual networks for human action recognition from skeletal data

... the learning model. In other words, the image-based re- presentation needs to contain discriminative features – a key factor to ensure the success of the CNNs during learning ...the human body ... Voir le document complet

17

Efficient deep learning model for mitosis detection using breast histopathology images

Efficient deep learning model for mitosis detection using breast histopathology images

... detection technique has been described in ...achieved an area under the curve 100%. In [24], objective and texture based features have been used for mitosis ...presents an automatic mitosis ... Voir le document complet

28

A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data

A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data

... new deep learning approach for real-time 3D human action recognition from skeletal data and apply it to develop a vision-based intelligent surveillance ...image. An Adaptive ... Voir le document complet

16

Toward unsupervised human activity and gesture recognition in videos

Toward unsupervised human activity and gesture recognition in videos

... model based on their probabilities (Figure 2.8 ). For recognition, an MLE or MAP classifier can be ...proposed an action detection method using block-based discrete ...series an ... Voir le document complet

284

Activity recognition from stride detection: a machine learning approach based on geometric patterns and trajectory reconstruction

Activity recognition from stride detection: a machine learning approach based on geometric patterns and trajectory reconstruction

... paper, an algorithm for activity recognition is proposed using inertial sensors worn on the ...approach based on geometric patterns uses a stride detector that can detect both normal walking ... Voir le document complet

7

A Deep Learning Approach for Hand Posture Recognition from Depth Data

A Deep Learning Approach for Hand Posture Recognition from Depth Data

... Keywords: deep learning, hand posture recognition, 3D data 1 Introduction, context and related work Making freehand gestures an efficient means of Human-Computer Interaction ... Voir le document complet

9

Computational Advantages of Deep Prototype-Based Learning

Computational Advantages of Deep Prototype-Based Learning

... prototype-based learning, pattern recognition, deep learn- ing, incremental learning 1 Introduction This study is conducted in the field of prototype-based machine ... Voir le document complet

8

A Human Activity Recognition System Based on Dynamic Clustering of Skeleton Data

A Human Activity Recognition System Based on Dynamic Clustering of Skeleton Data

... a human activity recognition method using the 3D skeleton joint data extracted from a depth ...describe an activity using several sequences of a few basic informative ...machine ... Voir le document complet

14

Efficient FPGA-Based Inference Architectures for Deep Learning Networks

Efficient FPGA-Based Inference Architectures for Deep Learning Networks

... Machine learning is a field of artificial intelligence where computer algorithms are used to autonomously learn from ...Machine learning algorithms have been ubiquitous in several applications such as ... Voir le document complet

117

CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning

CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning

... Multi-label Learning (XML) considers large sets of items described by a number of la- bels that can exceed one ...forest based algorithm with a very fast partitioning approach called ... Voir le document complet

11

Deep learning for semantic description of visual human traits

Deep learning for semantic description of visual human traits

... estimating an age from the face with a high accuracy [ GH95 ...by an average human looking at this face, and in practice, it is calculated by averaging several human ... Voir le document complet

223

An Inertial Newton Algorithm for Deep Learning

An Inertial Newton Algorithm for Deep Learning

... In this section, we use INDIAN for a concrete DL problem. We train a DNN for image classification using the CIFAR-100 dataset [15]. Regarding the network, we use a slightly modified version (with P = 10 6 parameters to ... Voir le document complet

7

Mobile-based online data mining : outdoor activity recognition

Mobile-based online data mining : outdoor activity recognition

... One of the evolving domains of Smart Cities is smart buildings in which researchers are adopting sustainable building technologies to create smart living and working environments. These entities will keep a range of ... Voir le document complet

243

An Inertial Newton Algorithm for Deep Learning

An Inertial Newton Algorithm for Deep Learning

... machine learning called ...of deep neural ...most deep learning ...analyze deep learning loss functions involving tame optimization in which we study the continuous dynamical ... Voir le document complet

30

A Fuzzy Spatio-Temporal-based Approach for Activity Recognition

A Fuzzy Spatio-Temporal-based Approach for Activity Recognition

... of an activity We model an activity by a Situation Graph Tree (SGT) [13], the objective of which is to facilitate the understanding of the structures that emerge from the description of ... Voir le document complet

11

Deep learning in event-based neuromorphic systems

Deep learning in event-based neuromorphic systems

... bio-inspired learning algorithms (different variants of STDP), which are applied on populations of inhibitory and excitatory leaky integrate-and-fire ...neurons. Learning in their implemen- tation is not ... Voir le document complet

147

Show all 10000 documents...