Search based optimization techniques have been applied to structural software test data generation since 1992, with a recent upsurge in interest and activity within this area. How...
: Computer Assisted Surgery seeks data from various sources related to surgical knowledge, which is mostly represented in the form of discrete databases. However, databases serve a...
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
Clustering performance can often be greatly improved by
leveraging side information. In this paper, we consider constrained
clustering with pairwise constraints, which specify
s...