Papers Sparse Representation-based Classification
“Sparse Representation-based Classification” 태그가 달린 논문 49편 · 필터 해제
Latent Dictionary Learning for Sparse Representation based Classification
Dictionary learning (DL) for sparse coding has shown promising results in classification tasks, while how to adaptively build the relationship between dictionary atoms and class labels is still an import…
ClassificationDictionary LearningFace RecognitionGeneral Classification+2Robust Face Recognition via Adaptive Sparse Representation
Sparse Representation (or coding) based Classification (SRC) has gained great success in face recognition in recent years. However, SRC emphasizes the sparsity too much and overlooks the correlation information which has…
Face RecognitionGeneral ClassificationRobust Face RecognitionSparse Representation-based ClassificationCollaborative Representation for Classification, Sparse or Non-sparse?
Sparse representation based classification (SRC) has been proved to be a simple, effective and robust solution to face recognition. As it gets popular, doubts on the necessity of enforcing sparsity starts coming up, and …
ClassificationDictionary LearningFace RecognitionGeneral Classification+1Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment
Single-sample face recognition is one of the most challenging problems in face recognition. We propose a novel algorithm to address this problem based on a sparse representation based classification (SRC) framework. The …
Face AlignmentFace RecognitionSparse Representation-based ClassificationIn Defense of Sparsity Based Face Recognition
The success of sparse representation based classification (SRC) has largely boosted the research of sparsity based face recognition in recent years. A prevailing view is that the sparsity based face recognition performs …
Face RecognitionSparse Representation-based ClassificationFace Recognition in Movie Trailers via Mean Sequence Sparse Representation-Based Classification
This paper presents an end-to-end video face recognition system, addressing the difficult problem of identifying a video face track using a large dictionary of still face images of a few hundred people, while rejecting u…
Face RecognitionGeneral ClassificationSparse Representation-based ClassificationSingle-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer
Single-sample face recognition is one of the most challenging problems in face recognition. We propose a novel face recognition algorithm to address this problem based on a sparse representation based classification (SRC…
Face AlignmentFace RecognitionSparse Representation-based ClassificationCollaborative Representation based Classification for Face Recognition
By coding a query sample as a sparse linear combination of all training samples and then classifying it by evaluating which class leads to the minimal coding residual, sparse representation based classification (SRC) lea…
ClassificationFace RecognitionGeneral ClassificationRobust Face Recognition+1Regularized Robust Coding for Face Recognition
Recently the sparse representation based classification (SRC) has been proposed for robust face recognition (FR). In SRC, the testing image is coded as a sparse linear combination of the training samples, and the represe…
Face RecognitionRobust Face RecognitionSparse Representation-based Classification