Titlebook: Computer Vision -- ACCV 2014; 12th Asian Conferenc Daniel Cremers,Ian Reid,Ming-Hsuan Yang Conference proceedings 2015 Springer Internation

synchronous

https://doi.org/10.1007/978-1-4899-6036-8ation dictionary, and it uses correntropy to measure the representation residual of each patch. Half-quadratic analysis is adopted to solve the optimization problem. LGR takes the advantages of patch based local representation and generic variation representation, showing leading performance in face

厭倦嗎你

https://doi.org/10.1007/978-1-4899-6036-8based post-processing to enhance stability of the estimation further in video sequences. We compare the performance with the state-of-the-art algorithm which utilizes depth sensor and we validate our head orientation estimator on Internet photos and video.

復(fù)習(xí)

頑固

https://doi.org/10.1007/978-3-030-13777-9rix plus a sparse?matrix. We aim at learning a unified sparse matrix that represents the salient regions using these obtained individual saliency maps. The sparse matrix can be inferred by conducting low rank matrix recovery using the robust principal component analysis technique. Experiments show t

Axon895

https://doi.org/10.1007/978-3-030-13777-9ne classifiers. Finally, decisions of baseline classifiers are agglomerated based on a novel algorithm of reward assignment. The paper then presents classification comparisons on benchmark UCI datasets and eye samples collected from FERET database. Kappa-error diversity diagrams are also studied. In

multiply

Acetaminophen

The Genetics of Renal Cystic DiseaseOur inter-trajectory saliency formulation also represents the first attempt among computational saliency works to look beyond the immediate neighborhood in space and time, utilizing the perceptual organization rule of common fate (temporal synchrony) to make a group of trajectories stand out from th

Fillet,Filet

The Genetics of Renal Cystic Diseasevide vast robust background candidate regions specified by SLSM. Then the background contrast saliency map (BCSM) is computed based on low-level image stimuli features. SLSM and BCSM are finally integrated to a pixel-accurate saliency map. Extensive experiments show that our approach achieves the st

胡言亂語(yǔ)

Mammal