IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Dec 8, 2017
Feature selection is beneficial for improving the performance of general machine learning tasks by extracting an informative subset from the high-dimensional features. Conventional feature selection methods usually ignore the class imbalance problem,...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Dec 4, 2017
Hand detection is essential for many hand related tasks, e.g., recovering hand pose and understanding gesture. However, hand detection in uncontrolled environments is challenging due to the flexibility of wrist joint and cluttered background. We prop...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Oct 20, 2017
Learning good representation for images is always a hot topic in machine learning and pattern recognition fields. Among the numerous algorithms, dictionary learning is a well-known strategy for effective feature extraction. Recently, more discriminat...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Aug 2, 2017
Object skeletons are useful for object representation and object detection. They are complementary to the object contour, and provide extra information, such as how object scale (thickness) varies among object parts. But object skeleton extraction fr...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jun 20, 2017
This paper presents a new discriminative deep metric learning (DDML) method for face and kinship verification in wild conditions. While metric learning has achieved reasonably good performance in face and kinship verification, most existing metric le...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jun 8, 2017
In this paper, we propose a simultaneous feature and dictionary learning (SFDL) method for image set-based face recognition, where each training and testing example contains a set of face images, which were captured from different variations of pose,...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Apr 24, 2017
Classifying human actions from varied views is challenging due to huge data variations in different views. The key to this problem is to learn discriminative view-invariant features robust to view variations. In this paper, we address this problem by...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Mar 22, 2017
Sequential dictionary learning via the K-SVD algorithm has been revealed as a successful alternative to conventional data driven methods, such as independent component analysis for functional magnetic resonance imaging (fMRI) data analysis. fMRI data...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Mar 1, 2017
The study of eye gaze fixations on photographic images is an active research area. In contrast, the image sub-category of freehand sketches has not received as much attention for such studies. In this paper, we analyze the results of a free-viewing g...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Mar 1, 2017
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 variables, both linear (i.e., add...