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COMSIS
2010
15 years 3 months ago
Effective semi-supervised nonlinear dimensionality reduction for wood defects recognition
Dimensionality reduction is an important preprocessing step in high-dimensional data analysis without losing intrinsic information. The problem of semi-supervised nonlinear dimensi...
Zhao Zhang, Ning Ye
ICASSP
2011
IEEE
14 years 10 months ago
An investigation of subspace modeling for phonetic and speaker variability in automatic speech recognition
This paper investigates the impact of subspace based techniques for acoustic modeling in automatic speech recognition (ASR). There are many well known approaches to subspace based...
Richard C. Rose, Shou-Chun Yin, Yun Tang
CVPR
2001
IEEE
16 years 8 months ago
Gait Recognition from Time-Normalized Joint-Angle Trajectories in the Walking Plane
This paper demonstrates gait recognition using only the trajectories of lower body joint angles projected into the walking plane. For this work, we begin with the position of 3D m...
Rawesak Tanawongsuwan, Aaron F. Bobick
WOWMOM
2009
ACM
180views Multimedia» more  WOWMOM 2009»
16 years 29 days ago
OPPORTUNITY: Towards opportunistic activity and context recognition systems
Opportunistic sensing allows to efficiently collect information about the physical world and the persons behaving in it. This may mainstream human context and activity recognitio...
Daniel Roggen, Kilian Förster, Alberto Calatr...
NOLISP
2005
Springer
15 years 12 months ago
MLP Internal Representation as Discriminative Features for Improved Speaker Recognition
Feature projection by non-linear discriminant analysis (NLDA) can substantially increase classification performance. In automatic speech recognition (ASR) the projection provided b...
Dalei Wu, Andrew C. Morris, Jacques C. Koreman