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» Automatic Understanding of Signals
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154
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PERCOM
2010
ACM
14 years 10 months ago
Detecting activities from body-worn accelerometers via instance-based algorithms
The automatic and unobtrusive identification of user's activities is one of the challenging goals of context-aware computing. This paper discusses and experimentally evaluate...
Nicola Bicocchi, Marco Mamei, Franco Zambonelli
125
Voted
SPEECH
2010
208views more  SPEECH 2010»
14 years 10 months ago
Silent speech interfaces
The possibility of speech processing in the absence of an intelligible acoustic signal has given rise to the idea of a `silent speech' interface, to be used as an aid for the...
Bruce Denby, Thomas Schultz, Kiyoshi Honda, Thomas...
156
Voted
TSP
2010
14 years 10 months ago
Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x RN that are of high dimension N but are constrained to reside in a low-dimen...
Minhua Chen, Jorge Silva, John William Paisley, Ch...
127
Voted
CVPR
2007
IEEE
16 years 5 months ago
Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury
ICCV
2003
IEEE
16 years 5 months ago
Regression based Bandwidth Selection for Segmentation using Parzen Windows
We consider the problem of segmentation of images that can be modelled as piecewise continuous signals having unknown, non-stationary statistics. We propose a solution to this pro...
Maneesh Kumar Singh, Narendra Ahuja