FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W96226593> ?p ?o ?g. }

• W96226593 endingPage "263" @default.
• W96226593 startingPage "250" @default.
• W96226593 abstract "Parameterized Appearance Models (PAMs) such as Active Appearance Models (AAMs), Morphable Models and Boosted Appearance Models have been extensively used for face alignment. Broadly speaking, PAMs methods can be classified into generative and discriminative. Discriminative methods learn a mapping between appearance features and motion parameters (rigid and non-rigid). While discriminative approaches have some advantages (e.g., feature weighting, improved generalization), they suffer from two major drawbacks: (1) they need large amounts of perturbed samples to train a regressor or classifier, making the training process computationally expensive in space and time. (2) It is not practical to uniformly sample the space of motion parameters. In practice, there are regions of the motion space that are more densely sampled than others, resulting in biased models and lack of generalization. To solve these problems, this paper proposes a computationally efficient continuous regressor that does not require the sampling stage. Experiments on real data show the improvement in memory and time requirements to train a discriminative appearance model, as well as improved generalization." @default.
• W96226593 created "2016-06-24" @default.
• W96226593 creator A5003508045 @default.
• W96226593 creator A5023323494 @default.
• W96226593 creator A5023727222 @default.
• W96226593 date "2012-01-01" @default.
• W96226593 modified "2023-10-14" @default.
• W96226593 title "Continuous Regression for Non-rigid Image Alignment" @default.
• W96226593 cites W1592803066 @default.
• W96226593 cites W1978099323 @default.
• W96226593 cites W1994065705 @default.
• W96226593 cites W2005310385 @default.
• W96226593 cites W2032558548 @default.
• W96226593 cites W2035379092 @default.
• W96226593 cites W2045965808 @default.
• W96226593 cites W2046399019 @default.
• W96226593 cites W2047291883 @default.
• W96226593 cites W2053290137 @default.
• W96226593 cites W2076017598 @default.
• W96226593 cites W2082308025 @default.
• W96226593 cites W2085714685 @default.
• W96226593 cites W2114171253 @default.
• W96226593 cites W2116083845 @default.
• W96226593 cites W2116277445 @default.
• W96226593 cites W2133401711 @default.
• W96226593 cites W2149918784 @default.
• W96226593 cites W2152758153 @default.
• W96226593 cites W2152826865 @default.
• W96226593 cites W2167243075 @default.
• W96226593 cites W2296659146 @default.
• W96226593 cites W2753461371 @default.
• W96226593 cites W2868041278 @default.
• W96226593 cites W4252521223 @default.
• W96226593 cites W4293747882 @default.
• W96226593 doi "https://doi.org/10.1007/978-3-642-33786-4_19" @default.
• W96226593 hasPublicationYear "2012" @default.
• W96226593 type Work @default.
• W96226593 sameAs 96226593 @default.
• W96226593 citedByCount "10" @default.
• W96226593 countsByYear W962265932012 @default.
• W96226593 countsByYear W962265932013 @default.
• W96226593 countsByYear W962265932014 @default.
• W96226593 countsByYear W962265932015 @default.
• W96226593 countsByYear W962265932016 @default.
• W96226593 countsByYear W962265932018 @default.
• W96226593 crossrefType "book-chapter" @default.
• W96226593 hasAuthorship W96226593A5003508045 @default.
• W96226593 hasAuthorship W96226593A5023323494 @default.
• W96226593 hasAuthorship W96226593A5023727222 @default.
• W96226593 hasBestOaLocation W962265931 @default.
• W96226593 hasConcept C104114177 @default.
• W96226593 hasConcept C11413529 @default.
• W96226593 hasConcept C115961682 @default.
• W96226593 hasConcept C119857082 @default.
• W96226593 hasConcept C126838900 @default.
• W96226593 hasConcept C134306372 @default.
• W96226593 hasConcept C138885662 @default.
• W96226593 hasConcept C153180895 @default.
• W96226593 hasConcept C154945302 @default.
• W96226593 hasConcept C165464430 @default.
• W96226593 hasConcept C167966045 @default.
• W96226593 hasConcept C177148314 @default.
• W96226593 hasConcept C183115368 @default.
• W96226593 hasConcept C2776401178 @default.
• W96226593 hasConcept C31972630 @default.
• W96226593 hasConcept C33923547 @default.
• W96226593 hasConcept C39890363 @default.
• W96226593 hasConcept C41008148 @default.
• W96226593 hasConcept C41895202 @default.
• W96226593 hasConcept C71924100 @default.
• W96226593 hasConcept C83248878 @default.
• W96226593 hasConcept C83665646 @default.
• W96226593 hasConcept C95623464 @default.
• W96226593 hasConcept C97931131 @default.
• W96226593 hasConceptScore W96226593C104114177 @default.
• W96226593 hasConceptScore W96226593C11413529 @default.
• W96226593 hasConceptScore W96226593C115961682 @default.
• W96226593 hasConceptScore W96226593C119857082 @default.
• W96226593 hasConceptScore W96226593C126838900 @default.
• W96226593 hasConceptScore W96226593C134306372 @default.
• W96226593 hasConceptScore W96226593C138885662 @default.
• W96226593 hasConceptScore W96226593C153180895 @default.
• W96226593 hasConceptScore W96226593C154945302 @default.
• W96226593 hasConceptScore W96226593C165464430 @default.
• W96226593 hasConceptScore W96226593C167966045 @default.
• W96226593 hasConceptScore W96226593C177148314 @default.
• W96226593 hasConceptScore W96226593C183115368 @default.
• W96226593 hasConceptScore W96226593C2776401178 @default.
• W96226593 hasConceptScore W96226593C31972630 @default.
• W96226593 hasConceptScore W96226593C33923547 @default.
• W96226593 hasConceptScore W96226593C39890363 @default.
• W96226593 hasConceptScore W96226593C41008148 @default.
• W96226593 hasConceptScore W96226593C41895202 @default.
• W96226593 hasConceptScore W96226593C71924100 @default.
• W96226593 hasConceptScore W96226593C83248878 @default.
• W96226593 hasConceptScore W96226593C83665646 @default.
• W96226593 hasConceptScore W96226593C95623464 @default.
• W96226593 hasConceptScore W96226593C97931131 @default.

• next