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MICCAI
2010
Springer
9 years 4 months ago
Modeling and Segmentation of Surgical Workflow from Laparoscopic Video
Modeling and analyzing surgeries based on signals that are obtained automatically from the operating room (OR) is a field of recent interest. It can be valuable for analyzing and u...
Tobias Blum, Hubertus Feußner, Nassir Navab
IWEC
2010
9 years 8 months ago
Emotions: The Voice of the Unconscious
In the paper the idea is presented that emotions are the result of a high dimensional optimization process happening in the unconscious mapped onto the low dimensional conscious. I...
Matthias Rauterberg
ICPR
2008
IEEE
10 years 8 months ago
Unsupervised image embedding using nonparametric statistics
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...
Guobiao Mei, Christian R. Shelton
ICCV
2003
IEEE
10 years 9 months ago
Image Spaces and Video Trajectories: Using Isomap to Explore Video Sequences
Dimensionality reduction techniques seek to represent a set of images as a set of points in a low dimensional space. Here we explore a video representation that considers a video ...
Robert Pless
ICCV
2007
IEEE
10 years 9 months ago
Real-time Body Tracking Using a Gaussian Process Latent Variable Model
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...
Shaobo Hou, Aphrodite Galata, Fabrice Caillette, N...
CVPR
2007
IEEE
10 years 9 months ago
The Hierarchical Isometric Self-Organizing Map for Manifold Representation
We present an algorithm, Hierarchical ISOmetric SelfOrganizing Map (H-ISOSOM), for a concise, organized manifold representation of complex, non-linear, large scale, high-dimension...
Haiying Guan, Matthew Turk
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