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89
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ICASSP
2011
IEEE
14 years 1 months ago
A simplified Subspace Gaussian Mixture to compact acoustic models for speech recognition
Speech recognition applications are known to require a significant amount of resources (memory, computing power). However, embedded speech recognition systems, such as in mobile p...
Mohamed Bouallegue, Driss Matrouf, Georges Linares
ICPR
2004
IEEE
15 years 10 months ago
Nearest Intra-Class Space Classifier for Face Recognition
In this paper, we propose a novel classification method, called nearest intra-class space (NICS), for face recognition. In our method, the distribution of face patterns of each pe...
Stan Z. Li, Tieniu Tan, Wei Liu, Yunhong Wang
DAC
2001
ACM
15 years 10 months ago
Efficient Large-Scale Power Grid Analysis Based on Preconditioned Krylov-Subspace Iterative Methods
In this paper, we propose preconditioned Krylov-subspace iterative methods to perform efficient DC and transient simulations for large-scale linear circuits with an emphasis on po...
Tsung-Hao Chen, Charlie Chung-Ping Chen
TIFS
2008
157views more  TIFS 2008»
14 years 9 months ago
Subspace Approximation of Face Recognition Algorithms: An Empirical Study
We present a theory for constructing linear subspace approximations to face-recognition algorithms and empirically demonstrate that a surprisingly diverse set of face-recognition a...
Pranab Mohanty, Sudeep Sarkar, Rangachar Kasturi, ...
102
Voted
WEBI
2010
Springer
14 years 7 months ago
DSP: Robust Semi-supervised Dimensionality Reduction Using Dual Subspace Projections
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
Su Yan, Sofien Bouaziz, Dongwon Lee