Empirically, we find that, despite the class-specific features owned by the objects appearing
in the images, the objects from different categories usually share some common patterns …

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 …

In this paper, we propose a discriminative low-rank dictionary learning algorithm for sparse
representation. Sparse representation seeks the sparsest coefficients to represent the test …

Object recognition is challenging especially when the objects from different categories are
visually similar to each other. In this paper, we present a novel joint dictionary learning (JDL) …

The choice of the over-complete dictionary that sparsely represents data is of prime
importance for sparse coding-based image super-resolution. Sparse coding is a typical …

This note presents some representative methods which are based on dictionary learning
(DL) for classification. We do not review the sophisticated methods or frameworks that …

While recent techniques for discriminative dictionary learning have demonstrated
tremendous success in image analysis applications, their performance is often limited by the …

This paper proposes a human age estimation method using Ranking SVM method. Given a
face image, most previous methods estimate the human age directly. However, the face …

Segmentation of the prostate in magnetic resonance image has become more in need for its
assistance to diagnosis and surgical planning of prostate carcinoma. Due to the natural …

现有视频抠图算法主要存在人机交互繁琐, 计算复杂度高的问题, 为此, 该文提出了一种利用
Kinect 深度图的新的快速视频抠图算法. 首先结合彩色图信息改进区域生长算法 …