Sparse Representation-based Classification
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Greatest papers with code
Sparse 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.
OBJECT CLASSIFICATION OPEN SET LEARNING SPARSE REPRESENTATION-BASED CLASSIFICATION
Deep Sparse Representation-based Classification
The proposed network consists of a convolutional autoencoder along with a fully-connected layer.
SEMI-SUPERVISED IMAGE CLASSIFICATION SPARSE REPRESENTATION-BASED CLASSIFICATION
Linear 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.
FACIAL ACTION UNIT DETECTION REPRESENTATION LEARNING SPARSE REPRESENTATION-BASED CLASSIFICATION
Hierarchical 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.
EMOTION RECOGNITION SPARSE REPRESENTATION-BASED CLASSIFICATION