[PDF] Top 20 Information Fusion towards a Robust Face Recognition System

... All face recognition algorithms, however, witness a performance drop whenever face ap- pearances are subject to variations by factors such as illumination, expression, occlusion, accessories, ... Voir le document complet

... Feature-level fusion and voting systems could be used for merging data of different nature, allowing at the same time to reduce the amount of information to work ...such a system, because they ... Voir le document complet

... Feature-level fusion and voting systems could be used for merging data of different nature, allowing at the same time to reduce the amount of information to work ...such a system, because they ... Voir le document complet

... presented a novel and effective representation of the facial image based on the local texture descriptor named: local binary pattern ...as a facial descriptor, as shown in Figure 21 ...of a single ... Voir le document complet

... The a contrario decision test can indeed provide a probability of the presence of a given symbol; ...ie. a soft output bringing more information for the Tardos accusation ... Voir le document complet

... by a combination of ICRF heating and alpha particle heating due to DT fusion reactions that take the role of a ...DHe3 fusion experiments, Candor is capable of reaching DHe3 ignition on the ... Voir le document complet

... use a simpler version of the population coding idea in order to enrich the representation of the raw unimodal sensor measurement by projecting scalars from a specific range into a unified ... Voir le document complet

... fitting a Catmull-Rom spline on the edited blendshapes weight ...create a style learning editing ...with a different context leads to inconsistent ...propose a temporal solution to propagate ... Voir le document complet

... the system at the ME level is too global to be ...have a better insight of the actual behavior of the ...with a MLP architecture, using 100 neurons in the hidden layer and seven local features for ... Voir le document complet

... learn a mapping from one modality (typically that of the probe) to the ...homogeneous face recognition approaches can be ...learn a deep fully-connected neural network to regress densely ... Voir le document complet

... Grossberg et al. proposed a V1-MT-MST neural model to explain the flow-field pat- tern sensitivity of MST cells by combining well-known neural mechanisms: log po- la[r] ... Voir le document complet

... Towards Robust Analysis of Satellite Images Using Map Information — Application to Urban Area Detection Shan Yu, Marc Berthod, Gérard Giraudon.. apport de recherche..[r] ... Voir le document complet

... instrument recognition only tackle the problem of monophonic sources ...at a time). On the contrary, most real musical sources correspond to a mixture of several ...exploit a simple additivity ... Voir le document complet

... To date, the most successful model for to speech recognition is the Hidden Markov Model (HMM.) The HMM combines acoustic, pronunciation and language modeling into a[r] ... Voir le document complet

... When a crisis occurs, the system leaves its nominal mode and the goal for the actors is to restore such a ...with a high level of pressure and numerous ... Voir le document complet

... have a reason to believe the complement E of E (which would mean assigning a weight x < 1 to ...possessing a prejudice of strength y > 1 against believing E is ready to doubt about the truth of ... Voir le document complet

... category information was conveyed in the first part of the neuronal firing rate, while fine information about iden- tity was conveyed at a slower rate with a delay of about 50 ...visual ... Voir le document complet

... human face has become recently an active research area in the artificial vision and patterns recognition domains, due to its important use in several applications such as electronic election, biometrics and ... Voir le document complet

... the fusion of elementary partially reliable testimonies from different ...such a com- bination only yields a special kind of belief functions called ...propose a new interpretation of this ... Voir le document complet

... in a sliding window of 10,000 links, for each set of 1000 ...in a shortest path connecting ...in a network point of ...little information on the network it- ...is a higher probability ... Voir le document complet