Towards a Solution to the Red Wedding Problem

Edge computing promises lower latency interactions for clients operating at the edge by shifting computation away from Data Centers to Points of Presence which are more abundant and located geographically closer to end users. However, most commercially available infrastructure for edge computing focuses on applications without shared state. In this paper, we present the Red Wedding Problem, a real-world scenario motivating the need for stateful computations at the edge. We sketch the design and implementation of a prototype database for operation at the edge that addresses the issues presented in the Red Wedding Problem and present issues around implementing our solution on commercial edge infrastructure due to limitations in these offering

Social Contradiction and Symbolic Resolution: Practical and Idealized Affines in Taiwan

This is a publisher's version of an article published in the journal Ethnology in 1984. The offprint is posted here in accordance with existing publisher policy, or by special permission via correspondence.tru

State business: gender, sex and marriage in Tajikistan

This article examines the relation of the state to masculinity and sexuality by way of an exploration of the sexual problems of a young man and his wife in Tajikistan at the end of the Soviet era. It suggests that the regime’s inattention to this kind of issue was bound up with the importance to the state of projecting appropriate versions of masculinity. It further posits the idea that the continued refusal of the independent Tajik state to offer appropriate treatments for sexual dysfunction is consistent with the image of modernity President Rahmon wishes to present to the world. The article shows that as masculinity discursively occupies the superior gender position, with men expected to dominate, the state is itself impotent to respond when they are, in fact, unable to do so in sexual practice. However, the myth of male dominance persists to the point that it may prevent women from seeing beyond their subordination and finding mutually beneficial solutions in their familial and sexual relationships

Altruism, Favoritism, and Guilt in the Allocuation of Family Resources: Sophie's Choice in Mao's Mass Send Down Movement

In this paper, we use new survey data on twins born in urban China, among whom many experienced the consequences of the forced mass rustication movement of the Chinese “cultural revolution,” to identify the distinct roles of altruism and guilt in affecting behavior within families. Based on a model depicting the choices of the allocation of parental time and transfers to multiple children incorporating favoritism, altruism and guilt, we show the conditions under which guilt and altruism can be separately identified by experimental variation in parental time with children. Based on within-twins estimates of affected cohorts, we find that parents selected children with lower endowments to be sent down; that parents behaved altruistically, providing more gifts to the sibling with lower earnings and schooling; but also exhibited guilt – given the current state variables of the two children, the child experiencing more years of rustication received significantly higher transfers.guilt, altruism, China

Video Storytelling: Textual Summaries for Events

Bridging vision and natural language is a longstanding goal in computer vision and multimedia research. While earlier works focus on generating a single-sentence description for visual content, recent works have studied paragraph generation. In this work, we introduce the problem of video storytelling, which aims at generating coherent and succinct stories for long videos. Video storytelling introduces new challenges, mainly due to the diversity of the story and the length and complexity of the video. We propose novel methods to address the challenges. First, we propose a context-aware framework for multimodal embedding learning, where we design a Residual Bidirectional Recurrent Neural Network to leverage contextual information from past and future. Second, we propose a Narrator model to discover the underlying storyline. The Narrator is formulated as a reinforcement learning agent which is trained by directly optimizing the textual metric of the generated story. We evaluate our method on the Video Story dataset, a new dataset that we have collected to enable the study. We compare our method with multiple state-of-the-art baselines, and show that our method achieves better performance, in terms of quantitative measures and user study.Comment: Published in IEEE Transactions on Multimedi

Structure and Dynamics of Information Pathways in Online Media

Diffusion of information, spread of rumors and infectious diseases are all instances of stochastic processes that occur over the edges of an underlying network. Many times networks over which contagions spread are unobserved, and such networks are often dynamic and change over time. In this paper, we investigate the problem of inferring dynamic networks based on information diffusion data. We assume there is an unobserved dynamic network that changes over time, while we observe the results of a dynamic process spreading over the edges of the network. The task then is to infer the edges and the dynamics of the underlying network. We develop an on-line algorithm that relies on stochastic convex optimization to efficiently solve the dynamic network inference problem. We apply our algorithm to information diffusion among 3.3 million mainstream media and blog sites and experiment with more than 179 million different pieces of information spreading over the network in a one year period. We study the evolution of information pathways in the online media space and find interesting insights. Information pathways for general recurrent topics are more stable across time than for on-going news events. Clusters of news media sites and blogs often emerge and vanish in matter of days for on-going news events. Major social movements and events involving civil population, such as the Libyan's civil war or Syria's uprise, lead to an increased amount of information pathways among blogs as well as in the overall increase in the network centrality of blogs and social media sites.Comment: To Appear at the 6th International Conference on Web Search and Data Mining (WSDM '13

Spartan Daily, October 30, 1972

Volume 60, Issue 25https://scholarworks.sjsu.edu/spartandaily/5660/thumbnail.jp

216 Jewish Hospital of St. Louis

https://digitalcommons.wustl.edu/bjc_216/1071/thumbnail.jp

Spartan Daily, March 24, 1976

Volume 66, Issue 32https://scholarworks.sjsu.edu/spartandaily/6063/thumbnail.jp