TY  - CONF
AU  - Eloi Puertas
AU  - Sergio Escalera
AU  - Oriol Pujol
A2  - CCIA
ED  - R. Alquezar, A. Moreno
PY  - 2010//
TI  - Classifying Objects at Different Sizes with Multi-Scale Stacked Sequential Learning
BT  - 13th International Conference of the Catalan Association for Artificial Intelligence
SP  - 193–200
VL  - 220
N2  - Sequential learning is that discipline of machine learning that deals with dependent data. In this paper, we use the Multi-scale Stacked Sequential Learning approach (MSSL) to solve the task of pixel-wise classification based on contextual information. The main contribution of this work is a shifting technique applied during the testing phase that makes possible, thanks to template images, to classify objects at different sizes. The results show that the proposed method robustly classifies such objects capturing their spatial relationships.
SN  - 978-1-60750-642-3
N1  - HUPBA;MILAB
ID  - Eloi Puertas2010
ER  -