[PDF] Top 20 Expression Recognition with Deep Features Extracted from Holistic and Part-based Models
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Expression Recognition with Deep Features Extracted from Holistic and Part-based Models
... Part-based face representation Due to the success of part- based learning, a research trend involved part-based models [4, 5, 7, 8, 52] in ...Deviating from ... Voir le document complet
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Human Action Recognition from Body-Part Directional Velocity using Hidden Markov Models
... used deep learning ...a deep network architecture to learn more suitable ...legs and the ...combined and fed into another set of BRNNS as ...torso and the neck ...clustering and ... Voir le document complet
7
Deep learning‐based methods for individual recognition in small birds
... ing with temporal changes in the appearance of ...pearance with great consistency, collecting training data within a short period of time might be sufficient to develop a robust al- gorithm for individual ... Voir le document complet
15
Feature-Based Facial Expression Recognition: Experiments With a Multi-Layer Perceptron
... We investigate the use of two types of features extracted from face images: the geometric positions of a set of fiducial points on a face, and a set of multi-scale and multi-orientation [r] ... Voir le document complet
10
Exploiting deep residual networks for human action recognition from skeletal data
... joints and find a better representations in which different actions can be easily dis- tinguished by the learning ...discriminative features – a key factor to ensure the success of the CNNs during learning ... Voir le document complet
17
Deep Covariance Descriptors for Facial Expression Recognition
... DCNN and Covariance Descriptors: Covariance features were first introduced by Tuzel et ...motion and appearance features extracted from a ...a deep neural network, which ... Voir le document complet
14
Emotion Recognition with Deep Neural Networks
... keypoints and the whole face is repre- sented by high dimensional binary ...methods and an SVM classifier is then used to predict facial expressions from this ...experiments and the dynamic ... Voir le document complet
145
Categorization of CAD models based on thin part identification
... adapted and/or repaired manually from those that can be meshed automatically would speed up the simulation model preparation ...parts with thin features, from parts with a rather ... Voir le document complet
11
Deep drawing simulations with different polycrystalline models
... Stress Integration Scheme As already mentioned, the stress-strain interpolation relation (equation (1)) does not use the concept of yield locus in a classical way. So, a specific integration scheme has been developed. ... Voir le document complet
6
3D Dynamic Expression Recognition Based on a Novel Deformation Vector Field and Random Forest
... Experiments and Discussions To demonstrate the effectiveness of the proposed ap- proach, we perform expression recognition from 3D face sequences following the experimental setting de- scribed ... Voir le document complet
5
Computational models with thermodynamic and composition features improve siRNA design
... duplexes, and secondary mRNA structures) affect the efficiency of siR- NAi, and that the features of the siRNAs (or miRNAs) themselves are important for the efficient RNA interfer- ...otides ... Voir le document complet
17
Features modeling with an α-stable distribution: Application to pattern recognition based on continuous belief functions
... Synthetic and real data were finally classified using the theory of belief ...functions and calculated maximum pignistic probability to obtain the classification ...two features improves the ... Voir le document complet
29
Multimodal and Crossmodal Representation Learning from Textual and Visual Features with Bidirectional Deep Neural Networks for Video Hyperlinking
... embedding and crossmodal mapping, as well as different dif- ferent single-modal representations to jointly embed descrip- tors in a new multimedia representation for the task of video ...track and video ... Voir le document complet
9
Features modeling with an α-stable distribution: Application to pattern recognition based on continuous belief functions
... where features are modeled by α-stable ...data from sensors are modeled by α-stable ...dealt with in ...Navigation And Ranging ...seabed from sonar ...extracting features ... Voir le document complet
29
Computational constraint models for decision support and holistic solution design
... Europe and North Africa in one common electricity grid via a giant hydro power station in Gibraltar ...architects and planners from Germany and some northern European ...countries, and ... Voir le document complet
14
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 (HMI) is an important ... Voir le document complet
9
A Comparison of Visual Servoing from Features Velocity and Acceleration Interaction Models
... Servoing and illustrate how acceleration models can be ...kinematics and dynamics to the feature space, and how to use these models to design ...laws based on the first ... Voir le document complet
7
Building generative models over discrete structures : from graphical models to deep learning
... In the former case, we explored implicit distributions defined via optimization of ran- domized structured potential functions (perturbation models).. Designed explicitly [r] ... Voir le document complet
173
Complexity of Representation and Inference in Compositional Models with Part Sharing
... serial and parallel compositional models of multiple objects and shows that they enable efficient representation and rapid ...tional models are generative and represent objects ... Voir le document complet
28
Revisiting LBP-Based Texture Models for Human Action Recognition
... spiking and walking with a dog), and contains 1 600 video ...backgrounds and camera ...test and the 16 remaining groups as training data. Our mean recognition rate on UCF Youtube ... Voir le document complet
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