Subspace learning from image gradient orientations
G Tzimiropoulos, S Zafeiriou… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
We introduce the notion of subspace learning from image gradient orientations for
appearance-based object recognition. As image data are typically noisy and noise is …
appearance-based object recognition. As image data are typically noisy and noise is …
A survey on feature extraction for pattern recognition
S Ding, H Zhu, W Jia, C Su - Artificial Intelligence Review, 2012 - Springer
In research of pattern recognition, we always want to achieve the correct classification rate
according to the characteristics required. Feature extraction greatly affects the design and …
according to the characteristics required. Feature extraction greatly affects the design and …
High classification accuracy for schizophrenia with rest and task fMRI data
We present a novel method to extract classification features from functional magnetic
resonance imaging (fMRI) data collected at rest or during the performance of a task. By …
resonance imaging (fMRI) data collected at rest or during the performance of a task. By …
Long range cross-spectral face recognition: matching SWIR against visible light images
F Nicolo, NA Schmid - IEEE Transactions on Information …, 2012 - ieeexplore.ieee.org
Short wave infrared (SWIR) is an emerging imaging modality in surveillance applications. It
is able to capture clear long range images of a subject in harsh atmospheric conditions and …
is able to capture clear long range images of a subject in harsh atmospheric conditions and …
Incremental complete LDA for face recognition
GF Lu, J Zou, Y Wang - Pattern Recognition, 2012 - Elsevier
The complete linear discriminant analysis (CLDA) algorithm has been proven to be an
effective tool for face recognition. The CLDA method can make full use of the discriminant …
effective tool for face recognition. The CLDA method can make full use of the discriminant …
Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis
In this paper, a novel multi-view human movement recognition method is presented. A novel
representation of multi-view human movement videos is proposed that is based on learning …
representation of multi-view human movement videos is proposed that is based on learning …
Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction
Dealing with high-dimensional data has always been a major problem in many pattern
recognition and machine learning applications. Trace ratio criterion is a criterion that can be …
recognition and machine learning applications. Trace ratio criterion is a criterion that can be …
Palmprint recognition across different devices
In this paper, the problem of Palmprint Recognition Across Different Devices (PRADD) is
investigated, which has not been well studied so far. Since there is no publicly available …
investigated, which has not been well studied so far. Since there is no publicly available …
Regularized kernel discriminant analysis with a robust kernel for face recognition and verification
S Zafeiriou, G Tzimiropoulos, M Petrou… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
We propose a robust approach to discriminant kernel-based feature extraction for face
recognition and verification. We show, for the first time, how to perform the eigen analysis of …
recognition and verification. We show, for the first time, how to perform the eigen analysis of …
Face recognition and verification using photometric stereo: The photoface database and a comprehensive evaluation
This paper presents a new database suitable for both 2-D and 3-D face recognition based
on photometric stereo (PS): the Photoface database. The database was collected using a …
on photometric stereo (PS): the Photoface database. The database was collected using a …