The least squares quantization table (LSQT) method is proposed to accelerate the direct Fourier transform for reconstructing images from nonuniformly sampled data, similar to the ...
To reduce the high dimensionality required for training of feature vectors in speaker identification, we propose an efficient GMM based on local PCA with Fuzzy clustering. The prop...
We propose a learning method for gait synthesis from a sequence of shapes(frames) with the ability to extrapolate to novel data. It involves the application of PCA, first to redu...
Muayed Sattar Al-Huseiny, Sasan Mahmoodi, Mark Nix...
: This paper develops methodology and technique for pose tracking of an autonomous mobile robot (AMR) using a laser scanner. A low-complexity and accurate pose-tracking EKF-based a...
The purpose of this study is to propose a new method for machine translation. We have proceeded through with two projects for report generation (Kittredge and Polguere, 2000) : We...