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» Activity Recognition from User-Annotated Acceleration Data
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ECCV
2008
Springer
16 years 6 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
15 years 7 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
14 years 7 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
13 years 6 months 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
15 years 5 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