[PDF] Top 20 Learning objects model and context for recognition and localisation
Has 10000 "Learning objects model and context for recognition and localisation" found on our website. Below are the top 20 most common "Learning objects model and context for recognition and localisation".
Learning objects model and context for recognition and localisation
... Araujo, Universidade de Coimbra Marten Bjorkman, Kungliga Tekniska Hogskolan. Examinateurs : Eric Marchand, IRISA-INRIA Frederic Lerasle, LAAS-CNRS[r] ... Voir le document complet
161
Mid-level features and spatio-temporal context for activity recognition
... cue for action recog- nition [ 9 , 28 , 29 ...discriminative for a given action category, and recursively map the descriptors of the variable-sized neighborhoods into higher-level vocabularies ... Voir le document complet
27
Context Aware Group Activity Recognition
... activity recognition approaches [4], [16], [18], [23], [32], [40] typically tackle this problem by de- composing it into two parts: feature learning and relational ...on learning ... Voir le document complet
9
Interactive Robot Learning for Multimodal Emotion Recognition
... gait and thermal facial features together to detect human emotion in social robotics ...robot and stops in front of it to interact with ...emotion recognition method by using thermal facial images ... Voir le document complet
11
Distributed UI on Interactive tabletops: issues and context model
... the recognition and learning of colors (only red, yellow, blue and green) to children (aged from 2 to 5 according to the level of ...syllabus for nursery ...tabletop and a set of ... Voir le document complet
17
Context models and out-of-context objects
... Context Models and Out-of-context Objects Myung Jin Choi, Antonio Torralba, Alan ...The context of an image encapsulates rich information about how natural scenes and ... Voir le document complet
11
Graphical event model learning and verification for security assessment
... formalisms: for instance, continuous time Bayesian networks, Markov jump pro- cesses [6], Poisson networks and graphical event models (GEMs) ...Appropriate learning and verification techniques ... Voir le document complet
9
Context-based visual feedback recognition
... A real-time visual feedback recognition library for interactive interfaces (called Watson) was developed to recognize head gaze, head gestures, and eye gaze using th[r] ... Voir le document complet
195
Mineral grains recognition using computer vision and machine learning
... truth and the optical image, the instances (attributes and labels) dataset had to be ...machine learning algorithms and their performances during the classification test ( Yen and Lee , ... Voir le document complet
10
Context-based Visual Feedback Recognition
... feedback recognition under the same two axes described in Chapter 2: embod- iment and conversional ...avatar and a non-embodied ...shakes and eye gaze aversion gestures. Finally, we tested our ... Voir le document complet
197
A Spectral Database for the Recognition of Urban Objects in Kaunas City: Performance and Morphometric Issues
... Database for the Recognition of Urban Objects in Kaunas City: Performance and Morphometric Issues Sébastien Gadal 12 , Gintautas Mozgeris 3 , Donatas Jonikavicius 3 , Jurate Kamicaityte 4 , ... Voir le document complet
2
Machine Learning for a Context Mining Facility
... Tree and Artificial Neural Network (ANN) algorithms for predicting the consumption of air conditioning in residential ...interpolation for missing and incorrect ...approach for ... Voir le document complet
8
Transfer Learning for Handwriting Recognition on Historical Documents
... Handwriting Recognition, Historical Document, Transfer Learning, Deep Neural Network, Unlabeled Data Abstract: In this work, we investigate handwriting recognition on new historical handwritten ... Voir le document complet
9
Technological Learning and Organizational Context: Fit and Performance in SMEs
... organizational context (lower part of figure 1) must be present. In order for organizational learning to occur, individuals within an organization must be given the opportunity to make the required ... Voir le document complet
23
Semantic Context Model for Efficient Speech Recognition
... Proposed methodology An effective way to take into account semantic information is to re-evaluate (rescoring) the best hypotheses of the ASR (N-best). The recognition system provides us for each word of the ... Voir le document complet
2
The Self-Adaptive Context Learning Pattern: Overview and Proposal
... devices and ESCHER, a multi-agent system for multi-criteria ...dynamic and sometimes ...use Learning from Demonstrations, a paradigm to dynamically learn new behaviours from demonstrations ... Voir le document complet
15
MAC-RANSAC: a robust algorithm for the recognition of multiple objects
... rigid objects that are common to two ...several objects are common to the two images and to estimate the corresponding geometric transforma- ...homographies and epipolar ...algorithm ... Voir le document complet
9
Approximate reflectional symmetries of fuzzy objects with an application in model-based object recognition
... some objects of the scene are known to be approximately ...region and compare these ori- entations in the model and the image to be ...option for such a scene is to compare the degree ... Voir le document complet
29
A procedure for localisation and electrophysiological characterisation of ion channels heterologously expressed in a plant context
... Bei and Luan opened the way towards a "green" heterolo- gous expression system when they found that tobacco mesophyll protoplasts are devoid of K + inward currents and demonstrated that the KAT1 ... Voir le document complet
15
Games based on active NFC objects : model and security requirements
... realistic and cost efficient security requirements for securing games based on active NFC objects against cheaters: secure communications between the object and the server as well as between ... Voir le document complet
4
Sujets connexes