This paper addresses the problem of recovering relative structure, in the form of an invariant, referred to as projective structure, from two views of a 3D scene. The invariant structure is computed without any prior knowledge of camera geometry, or…

by Satyajit Rao., Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1992., Includes bibliographical references (p. 64-65).

by Robert W. Sommer., Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1992., Title as it appears in the M.I.T. Graduate List, June 1992: Building internal knowledge networks in multinational corporations, a study of cross-border research and development., Includes…

by Henry Neil Holtzman., Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1991., Includes bibliographical references (leaves 63-66).

by Ann Margaret Bush., Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil Engineering, 1991., Includes bibliographical references (leaves 204-208).

by Susan Jane Dwyer., Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Linguistics and Philosophy, 1991., Includes bibliographical references (p. 280-289).

by Feng Zhao., Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1992., Includes bibliographical references (leaves 126-130).

This dissertation investigates changes that occurred in architectural culture in respect to conditions of modernity. Large-scale industrialization and urbanization caused dramatic ruptures with traditional social and economic hierarchies, forcing a reconceptualization of the theoretical constructs underlying architecture. During the course…

An investigation was carried out on the contents of the architectural texts in order to illuminate written architectural knowledge. The thesis takes as its case study the required reading list for Introduction to Architecture course at Yale College, Yale University,…

This paper presents an adaptive learning model for market-making under the reinforcement learning framework. Reinforcement learning is a learning technique in which agents aim to maximize the long-term accumulated rewards. No knowledge of the market environment, such as the order…