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ICCV
2011
IEEE
14 years 6 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang
DIGITEL
2008
IEEE
16 years 1 months ago
Development of Educational Videogames in m-Learning Contexts
The educational gaming field is rapidly growing both in acceptance and variety. Within this variety, the technological evolution of wireless/handheld (W/H) computing devices is op...
Pablo Lavín-Mera, Pablo Moreno-Ger, Baltasa...
ICALT
2008
IEEE
16 years 1 months ago
Encouraging Persons with Hearing Problem to Learn Sign Language by Internet Websites
Nowadays the Internet users are from different ages and groups. Disabled people are a group of the Internet users. Some websites are especially created for these people. One group...
Mohammad Shirali-Shahreza, Sajad Shirali-Shahreza
ICPR
2008
IEEE
16 years 1 months ago
Learning a discriminative sparse tri-value transform
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
Zhenhua Qu, Guoping Qiu, Pong Chi Yuen
ICCV
2007
IEEE
16 years 28 days ago
Shape Priors using Manifold Learning Techniques
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
Patrick Etyngier, Florent Ségonne, Renaud K...