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» Unsupervised Learning of Invariant Features Using Video
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AAAI
2012
11 years 11 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
MVA
2007
150views Computer Vision» more  MVA 2007»
13 years 10 months ago
Detecting the Degree of Anomal in Security Video
We have developed a method that can discriminate anomalous image sequences for more efficiently utilizing security videos. To match the wide popularity of security cameras, the me...
Kyoko Sudo, Tatsuya Osawa, Xiaojun Wu, Kaoru Wakab...
ICONIP
2007
13 years 10 months ago
Using Image Stimuli to Drive fMRI Analysis
We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
David R. Hardoon, Janaina Mourão Miranda, M...
ICIP
2009
IEEE
14 years 10 months ago
Spatio-temporal Tube Kernel For Actor Retrieval
This paper presents an actor video retrieval system based on face video-tubes extraction and representation with sets of temporally coherent features. Visual features, SIFT points...
IROS
2007
IEEE
166views Robotics» more  IROS 2007»
14 years 3 months ago
Visual path following using only monocular vision for urban environments
— This document provides a summary to a short video with the same title. The video shows the French intelligent transportation vehicle CyCab performing visual path following usin...
Albert Diosi, Fabien Spindler, Anthony Remazeilles...