We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...
We propose a model for classification and detection of object classes where the number of classes may be large and where multiple instances of object classes may be present in an i...
We explore a novel motion feature as the appropriate basis for classifying or describing a number of fine motor human activities.Ourapproach not only estimates motion directions a...
Jiang Gao, Alexander G. Hauptmann, Howard D. Wactl...
The basic idea of Lucas and Kanade is to constrain the local motion measurement by assuming a constant velocity within a spatial neighborhood. We reformulate this spatial constrai...
Volker Willert, Julian Eggert, Marc Toussaint, Edg...
In order to resolve multi-dimentional queries, we propose a conceptual indexing based on a medical meta thesaurus (UMLS). We study the impact of this indexing compared to a words-b...