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t-distributed stochastic neighbor embedding (t-SNE) is a statistical method for visualizing high-dimensional data by giving each datapoint a location in a two or three-dimensional map. It is based on Stochastic Neighbor Embedding originally developed by Geoffrey Hinton and Sam Roweis, [ 1 ] where Laurens van der Maaten and Hinton proposed the t ...
By this method, body diagrams can be derived by pasting organs into one of the "plain" body images shown below. This method requires a graphics editor that can handle transparent images, in order to avoid white squares around the organs when pasting onto the body image. Pictures of organs are found on the project's main page. These were ...
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For example, consider a dataset that contains images of a letter 'A', which has been scaled and rotated by varying amounts. Each image has 32×32 pixels. Each image can be represented as a vector of 1024 pixel values. Each row is a sample on a two-dimensional manifold in 1024-dimensional space (a Hamming space).
The body area network field is an interdisciplinary area which could allow inexpensive and continuous health monitoring with real-time updates of medical records through the Internet. A number of intelligent physiological sensors can be integrated into a wearable wireless body area network, which can be used for computer-assisted rehabilitation ...
The Fusiform body area (FBA) is a part of the extrastriate visual cortex, an object representation system involved in the visual processing of human bodies in contrast to body parts. Its function is similar to but distinct from the extrastriate body area (EBA), which perceives bodies in relation body parts, and the fusiform face area (FFA ...
A free body diagram is not a scaled drawing, it is a diagram. The symbols used in a free body diagram depends upon how a body is modeled. [6] Free body diagrams consist of: A simplified version of the body (often a dot or a box) Forces shown as straight arrows pointing in the direction they act on the body