ESANN
2004
13 years 6 months ago
2004
The classification problem of determining if a surveillance camera sees persons is tackled with two neural models: the Self-Organizing Map (SOM) with supervision as in a classical ...
CIVR
2008
Springer
13 years 6 months ago
2008
Springer
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
ICPR
2000
IEEE
13 years 8 months ago
2000
IEEE
This paper proposes a novel approach to color texture characterization and classification. Rather than developing new textural features, we propose to derive a family of new, redu...
ECAI
2006
Springer
13 years 8 months ago
2006
Springer
We propose a meta-typicalness approach to apply the typicalness framework for any type of classifiers. The approach can be used to construct classifiers with specified classificati...
AUSAI
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. We present a new method for voting exponential (in the number of attributes) size sets of Bayesian classifiers in polynomial time with polynomial memory requirements. Tra...
FBIT
2007
IEEE
13 years 8 months ago
2007
IEEE
We investigate the performance of different classification models and their ability to recognize prostate cancer in an early state. We build ensembles of classification models in ...
AUSAI
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Principal Component Analysis (PCA) plus Linear Discriminant Analysis (LDA) (PCA+LDA) and LDA/QR are both two-stage methods that deal with the small sample size (SSS) prob...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised man...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...