<正>In recent years,a series of subspace methods,named the collaborative representation based methods,have aroused researchers’interests.Inspired by the idea of sparse coding,Wright et al.[1]proposed the sparse representation based classification(SRC)method.SRC encodes a query sample as a linear combination of all subjects’training samples with sparsity constraint and then classifies it by evaluating which class has the minimal04232-23
Recent research has shown that collaborative representation-based classifier (CRC) can lead to promi...
We present a novel multi-class classifier that strikes a balance between the nearest-subspace classi...
Building a computer as intelligent as or more intelligent than human is the ultimate goal of machine...
In recent years, a series of subspace methods, named the collaborative representation based methods,...
As a recently proposed technique, sparse representation based classification (SRC) has been widely u...
Abstract—A method, named competitive sparse representation classification (CSRC), is proposed for fa...
Sparse representation (SRC) based Face classification has been developed extensively in last decade ...
Abstract Although Sparse Representation based Classifier (SRC), a non‐parametric model, can obtain a...
Abstract. The recently proposed l2-norm based collaborative representation for classification (CRC) ...
In this chapter, we present a comprehensive framework for tackling the classical prob-lem of face re...
The collaborative representation-based classifier (CRC) is proposed as an alternative to the sparse ...
In recent years, sparse representation based classification (SRC) has emerged as a popular technique...
Sparse Representation-based Classification (SRC) has been seen to be a reliable Face Recognition tec...
Recently, (Zhang et al., 2011) proposed a classifier based on collaborative representations (CR) wit...
The success of sparse representation based classification (SRC) has largely boosted the research of ...
Recent research has shown that collaborative representation-based classifier (CRC) can lead to promi...
We present a novel multi-class classifier that strikes a balance between the nearest-subspace classi...
Building a computer as intelligent as or more intelligent than human is the ultimate goal of machine...
In recent years, a series of subspace methods, named the collaborative representation based methods,...
As a recently proposed technique, sparse representation based classification (SRC) has been widely u...
Abstract—A method, named competitive sparse representation classification (CSRC), is proposed for fa...
Sparse representation (SRC) based Face classification has been developed extensively in last decade ...
Abstract Although Sparse Representation based Classifier (SRC), a non‐parametric model, can obtain a...
Abstract. The recently proposed l2-norm based collaborative representation for classification (CRC) ...
In this chapter, we present a comprehensive framework for tackling the classical prob-lem of face re...
The collaborative representation-based classifier (CRC) is proposed as an alternative to the sparse ...
In recent years, sparse representation based classification (SRC) has emerged as a popular technique...
Sparse Representation-based Classification (SRC) has been seen to be a reliable Face Recognition tec...
Recently, (Zhang et al., 2011) proposed a classifier based on collaborative representations (CR) wit...
The success of sparse representation based classification (SRC) has largely boosted the research of ...
Recent research has shown that collaborative representation-based classifier (CRC) can lead to promi...
We present a novel multi-class classifier that strikes a balance between the nearest-subspace classi...
Building a computer as intelligent as or more intelligent than human is the ultimate goal of machine...