Sebastian Sanchez

This book is centrally concerned with crucial theoretical and practical aspects of teaching in the national and global borderlands of gender, race, and sexuality studies. The cross-cultural feminist focus of this anthology allows the contributors to consider the various ways in which global and national frameworks intersect in the classroom and in students' thinking, and also the ways in which power and authority are developed, directed, and deployed in the feminist classroom. This volume provides a critical elaboration of provocative, self-reflexive questions for feminist cultural and intellectual practice for the 21st century. In doing so, the volume provides a site for engaged feminist self-criticism for the specific purpose of reinvigorating a critical pedagogical practice grounded in multicultural feminist identities.

In this paper, a graph-based nonlocal total variation method is proposed for unsupervised classification of hyperspectral images. The variational problem is solved by the primal-dual hybrid gradient algorithm. By squaring the labeling function and using a stable simplex clustering routine, an unsupervised clustering method with random initialization can be implemented. The effectiveness of this proposed algorithm is illustrated on both synthetic and real-world HSI, and numerical results show that the proposed algorithm outperforms other standard unsupervised clustering methods such as spherical K-means, nonnegative matrix factorization, and the graph-based Merriman-Bence-Osher scheme.