217 search results - page 22 / 44 » Discriminant Analysis with Tensor Representation |
90
Voted
PR
2008
14 years 9 months ago
2008
Face Representation (FR) plays a typically important role in face recognition and methods such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) have be...
ICDAR
2009
IEEE
14 years 7 months ago
2009
IEEE
Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capabilit...
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
This paper presents a novel approach for the visualization and clustering of crowd video contents by using multilinear principal component analysis (MPCA). In contrast to feature-...
ICIP
2002
IEEE
15 years 11 months ago
2002
IEEE
Techniques that can introduce low-dimensional feature representation with enhanced discriminatory power is of paramount importance in face recognition applications. It is well kno...
74
Voted
RAS
2002
14 years 9 months ago
2002
This paper proposes a statistical, non-feature based, attention mechanism for a mobile robot, termed Information Sampling. The selected data may be a single pixel or a number scat...