Search results

...ing to rank repeatable local interest points", Computer Vision and Pattern Recognition (CVPR), 2011</ref> ...ath>\left \{ I_m, m=0,1,...M \right \}</math> is a training image sequence and <math>p</math> is a key point obtained by SIFT detector. The following equa ...

| released = {{Start date and age|2014|09|04}} ...G-16 (13 convolutional layers + 3 fully connected layers, 138M parameters) and VGG-19 (16 + 3, 144M parameters).<ref name=":1" /> ...

..., Oliva A., Poggio T. (2007) A feedforward architecture accounts for rapid categorization. ''PNAS'', vol. 104, no. 15, pp. 6424–6429</ref> ...various transformations of images (translation, scale, 2D and 3D rotation and others). In contrast with other approaches using invariant representations, ...

.... sound and images from a video) that have different notions of similarity and thus require different kernels. Instead of creating a new kernel, multiple ...://www.biomedcentral.com/1471-2105/11/309 L2-norm multiple kernel learning and its application to biomedical data fusion]. BMC Bioinformatics 2010, 11:309 ...

...related to the [[Dirichlet distribution]]. It was first described by Tiao and Cuttman in 1965.<ref name="Tiao1965">{{cite journal|author-link=George Tiao ...rted Dirichlet distribution| journal=Communications in Statistics - Theory and Methods| year=2010| volume=39|pages=21&ndash;37| doi=10.1080/03610920802627 ...

...ferentiate and extract the meaningful [[rigid motion]] from the background and analyze it. [[Image segmentation]] techniques labels the pixels to be a par ...ease in its application over the recent past with rise in [[surveillance]] and [[video editing]]. These algorithms are discussed further. ...

...s in a [[social network]], classifying webpages in the [[World Wide Web]], and inferring the research area of a paper in a scientific publication dataset. == Motivation and background == ...

...contains few keys. Some of these people are able to enter a certain room, and some aren't. The task is then to predict whether a certain key or a certain ...s. A bag is positively labeled if at least one instance in it is positive, and is negatively labeled if all instances in it are negative. The goal of the ...

{{short description|Statistics and machine learning technique}} In [[statistics]] and [[machine learning]], '''ensemble methods''' use multiple learning algorith ...