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» Dimensionality Reduction for Classification
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ASAP
2005
IEEE
169views Hardware» more  ASAP 2005»
15 years 8 months ago
Alleviating the Data Memory Bandwidth Bottleneck in Coarse-Grained Reconfigurable Arrays
It is widely known that parallel operation execution in multiprocessor systems generates a respective increase in memory accesses. Since the memory and bus subsystems provide a li...
Grigoris Dimitroulakos, Michalis D. Galanis, Costa...
WACV
2005
IEEE
15 years 8 months ago
Isomap and Nonparametric Models of Image Deformation
Isomap is an exemplar of a set of data driven nonlinear dimensionality reduction techniques that have shown promise for the analysis of images and video. These methods parameteriz...
Richard Souvenir, Robert Pless
134
Voted
IDEAL
2004
Springer
15 years 8 months ago
Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
Swapna Sarvesvaran, Hujun Yin
WACV
2002
IEEE
15 years 8 months ago
Appearance-based Eye Gaze Estimation
We present a method for estimating eye gaze direction, which represents a departure from conventional eye gaze estimation methods, the majority of which are based on tracking spec...
Kar-Han Tan, David J. Kriegman, Narendra Ahuja
FGR
2000
IEEE
181views Biometrics» more  FGR 2000»
15 years 7 months ago
Face Detection Using Mixtures of Linear Subspaces
We present two methods using mixtures of linear subspaces for face detection in gray level images. One method uses a mixture of factor analyzers to concurrently perform clustering...
Ming-Hsuan Yang, Narendra Ahuja, David J. Kriegman