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» Activity Recognition from User-Annotated Acceleration Data
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ECCV
2008
Springer
14 years 11 months ago
Grassmann Registration Manifolds for Face Recognition
Abstract. Motivated by image perturbation and the geometry of manifolds, we present a novel method combining these two elements. First, we form a tangent space from a set of pertur...
Yui Man Lui, J. Ross Beveridge
CIG
2006
IEEE
14 years 1 months ago
Using Wearable Sensors for Real-Time Recognition Tasks in Games of Martial Arts - An Initial Experiment
Abstract-- Beside their stunning graphics, modern entertainment systems feature ever-higher levels of immersive userinteraction. Today, this is mostly achieved by virtual (VR) and ...
Ernst A. Heinz, Kai S. Kunze, Matthias Gruber, Dav...
ICASSP
2011
IEEE
13 years 1 months ago
A pitch based noise estimation technique for robust speech recognition with Missing Data
This paper presents a noise estimation technique based on knowledge of pitch information for robust speech recognition. In the first stage the noise is estimated by means of extr...
Juan Andres Morales-Cordovilla, Ning Ma, Victoria ...
CVPR
2012
IEEE
12 years 7 days ago
Two-person interaction detection using body-pose features and multiple instance learning
Human activity recognition has potential to impact a wide range of applications from surveillance to human computer interfaces to content based video retrieval. Recently, the rapi...
Kiwon Yun, Jean Honorio, Debaleena Chattopadhyay, ...
NIPS
2000
13 years 11 months ago
Rate-coded Restricted Boltzmann Machines for Face Recognition
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Yee Whye Teh, Geoffrey E. Hinton