Name
Title | ||
|---|---|---|
Multimodal sparse representation classification with Fisher discriminative sample reduction |
Abstract | ||
|---|---|---|
This paper presents a method to perform sparse representation based classification (SRC) in a more accurate and efficient way. In this method, training data is first mapped into different feature spaces and multiple dictionaries are built by utilizing a Fisher discriminative based method. These dictionaries can be considered as efficient representations of the data which are then used in a multimodal SRC framework to classify test samples. In comparison to the original SRC method where only one modality of training space is utilized, the proposed method classifies test samples in a more accurate and efficient way. Experimental results from two different face datasets show that the proposed multimodal method has higher recognition rate compared to single-modality SRC based methods. The accuracy of the proposed method is also compared to other multi-modality classifiers and the results confirm that higher recognition rates are achieved in comparison with other common classification algorithms. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICIP.2014.7026051 | ICIP |
Keywords | Field | DocType |
image representation,sparse representation,single-modality src based method,learning (artificial intelligence),modal analysis,dictionaries,multimodal classification,image recognition,data training mapping,training space modality,multimodal src framework,multiple dictionary,image sampling,fisher discrimination,image classification,fisher discriminative sample reduction,multimodal sparse representation classification,multimodality classification | Training set,Pattern recognition,Computer science,Sparse approximation,Artificial intelligence,Statistical classification,Discriminative model,Machine learning | Conference |
ISSN | Citations | PageRank |
1522-4880 | 1 | 0.36 |
References | Authors | |
10 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soheil Shafiee | 1 | 11 | 2.28 |
| Farhad Kamangar | 2 | 75 | 18.12 |
| Vassilis Athitsos | 3 | 1908 | 126.48 |
| Junzhou Huang | 4 | 2182 | 141.43 |
| Laleh Shikh Gholamhossein Ghandehari | 5 | 1 | 0.36 |