Papers Sparse Representation-based Classification
“Sparse Representation-based Classification” 태그가 달린 논문 49편 · 필터 해제
Discriminant Projection Representation-based Classification for Vision Recognition
Representation-based classification methods such as sparse representation-based classification (SRC) and linear regression classification (LRC) have attracted a lot of attentions. In order to obtain the better representa…
ClassificationGeneral ClassificationSparse Representation-based ClassificationColor Face Recognition using High-Dimension Quaternion-based Adaptive Representation
Recently, quaternion collaborative representation-based classification (QCRC) and quaternion sparse representation-based classification (QSRC) have been proposed for color face recognition. They can obtain correlation in…
Face RecognitionGeneral ClassificationSparse Representation-based ClassificationVocal Bursts Intensity PredictionShapelet-based Sparse Representation for Landcover Classification of Hyperspectral Images
This paper presents a sparse representation-based classification approach with a novel dictionary construction procedure. By using the constructed dictionary sophisticated prior knowledge about the spatial nature of the …
Classification Of Hyperspectral ImagesGeneral ClassificationSparse Representation-based ClassificationAdaptive Class Preserving Representation for Image Classification
In linear representation-based image classification, an unlabeled sample is represented by the entire training set. To obtain a stable and discriminative solution, regularization on the vector of representation coefficie…
ClassificationGeneral Classificationimage-classificationImage Classification+1Sparse Representation-based Open Set Recognition
We propose a generalized Sparse Representation- based Classification (SRC) algorithm for open set recognition where not all classes presented during testing are known during training. The SRC algorithm uses class reconst…
ClassificationGeneral ClassificationOpen Set LearningSparse Representation-based Classification+1Linear Disentangled Representation Learning for Facial Actions
Limited annotated data available for the recognition of facial expression and action units embarrasses the training of deep networks, which can learn disentangled invariant features. However, a linear model with just sev…
Facial Action Unit DetectionRepresentation LearningSparse Representation-based ClassificationSemi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples
This paper addresses the problem of face recognition when there is only few, or even only a single, labeled examples of the face that we wish to recognize. Moreover, these examples are typically corrupted by nuisance var…
Face RecognitionGeneral ClassificationSparse Representation-based ClassificationSparse Representation-Based Classification: Orthogonal Least Squares or Orthogonal Matching Pursuit?
Spare representation of signals has received significant attention in recent years. Based on these developments, a sparse representation-based classification (SRC) has been proposed for a variety of classification and re…
BenchmarkingClassificationFace RecognitionGeneral Classification+4Improving Sparse Representation-Based Classification Using Local Principal Component Analysis
Sparse representation-based classification (SRC), proposed by Wright et al., seeks the sparsest decomposition of a test sample over the dictionary of training samples, with classification to the most-contributing class. …
ClassificationDimensionality ReductionGeneral ClassificationSparse Representation-based ClassificationNeighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices
Due to its promising classification performance, sparse representation based classification(SRC) algorithm has attracted great attention in the past few years. However, the existing SRC type methods apply only to vector …
ClassificationGeneral ClassificationRobust classificationSparse Representation-based ClassificationContinuous and Simultaneous Gesture and Posture Recognition for Commanding a Robotic Wheelchair; Towards Spotting the Signal Patterns
Spotting signal patterns with varying lengths has been still an open problem in the literature. In this study, we describe a signal pattern recognition approach for continuous and simultaneous classification of a tracked…
ClusteringGeneral ClassificationSparse Representation-based ClassificationSubspace-Sparse Representation
Given an overcomplete dictionary $A$ and a signal $b$ that is a linear combination of a few linearly independent columns of $A$, classical sparse recovery theory deals with the problem of recovering the unique sparse rep…
Sparse Representation-based ClassificationSparse Representation Classification With Manifold Constraints Transfer
The fact that image data samples lie on a manifold has been successfully exploited in many learning and inference problems. In this paper we leverage the specific structure of data in order to improve recognition accurac…
ClassificationGeneral ClassificationSparse Representation-based ClassificationJoint Representation Classification for Collective Face Recognition
Sparse representation based classification (SRC) is popularly used in many applications such as face recognition, and implemented in two steps: representation coding and classification. For a given set of testing images,…
ClassificationFace RecognitionGeneral ClassificationSparse Representation-based ClassificationStudy on Sparse Representation based Classification for Biometric Verification
In this paper, we propose a multimodal verification system integrating face and ear based on sparse representation based classification (SRC). The face and ear query samples are first encoded separately to derive sparsit…
ClassificationGeneral ClassificationSparse Representation-based ClassificationStructured Occlusion Coding for Robust Face Recognition
Occlusion in face recognition is a common yet challenging problem. While sparse representation based classification (SRC) has been shown promising performance in laboratory conditions (i.e. noiseless or random pixel corr…
Face RecognitionRobust Face RecognitionSparse Representation-based ClassificationOptimized Projection for Sparse Representation Based Classification
Dimensionality reduction (DR) methods have been commonly used as a principled way to understand the high-dimensional data such as facial images. In this paper, we propose a new supervised DR method called Optimized Proje…
ClassificationDimensionality ReductionFace RecognitionGeneral Classification+1Hierarchical Sparse and Collaborative Low-Rank Representation for Emotion Recognition
In this paper, we design a Collaborative-Hierarchical Sparse and Low-Rank (C-HiSLR) model that is natural for recognizing human emotion in visual data. Previous attempts require explicit expression components, which are …
Emotion RecognitionGeneral ClassificationSparse Representation-based ClassificationHSR: L1/2 Regularized Sparse Representation for Fast Face Recognition using Hierarchical Feature Selection
In this paper, we propose a novel method for fast face recognition called L1/2 Regularized Sparse Representation using Hierarchical Feature Selection (HSR). By employing hierarchical feature selection, we can compress th…
Face Recognitionfeature selectionSparse Representation-based ClassificationActive Dictionary Learning in Sparse Representation Based Classification
Sparse representation, which uses dictionary atoms to reconstruct input vectors, has been studied intensively in recent years. A proper dictionary is a key for the success of sparse representation. In this paper, an acti…
Active LearningClassificationDictionary LearningGeneral Classification+1