Technion – Israel Institute of Technology

About: Technion – Israel Institute of Technology is a education organization based out in Haifa, Israel. It is known for research contribution in the topics: Population & Nonlinear system. The organization has 31714 authors who have published 79377 publications receiving 2603976 citations. The organization is also known as: Technion Israel Institute of Technology & Ṭekhniyon, Makhon ṭekhnologi le-Yiśraʼel.

Small feedback‐based decisions and their limited correspondence to description‐based decisions

Abstract: The present paper explores situations in which the information available to decision makers is limited to feedback concerning the outcomes of their previous decisions. The results reveal that experience in these situations can lead to deviations from maximization in the opposite direction of the deviations observed when the decisions are made based on a description of the choice problem. Experience was found to lead to a reversed common ratio/certainty effect, more risk seeking in the gain than in the loss domain, and to an underweighting of small probabilities. Only one of the examined properties of description-based decisions, loss aversion, seems to emerge robustly in these ‘feedback-based’ decisions. These results are summarized with a simple model that illustrates that all the unique properties of feedback-based decisions can be a product of a tendency to rely on recent outcomes. Copyright # 2003 John Wiley & Sons, Ltd.

Volatile organic compounds of lung cancer and possible biochemical pathways.

Abstract: Biochemical Pathways Meggie Hakim,† Yoav Y. Broza,† Orna Barash,† Nir Peled,‡ Michael Phillips, Anton Amann, and Hossam Haick*,† †The Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, TechnionIsrael Institute of Technology, Haifa 32000, Israel ‡The Thoracic Cancer Research and Detection Center, Sheba Medical Center, Tel-Aviv University, Tel-Aviv 52621, Israel Menssana Research, Inc., Fort Lee, New Jersey 07024, United States Breath Research Institute, Austrian Academy of Sciences, 6850 Dornbirn, Austria University-Clinic for Anesthesia, Innsbruck Medical University, 6020 Innsbruck, Austria

A Variational Framework for Retinex

Abstract: Retinex theory addresses the problem of separating the illumination from the reflectance in a given image and thereby compensating for non-uniform lighting. This is in general an ill-posed problem. In this paper we propose a variational model for the Retinex problem that unifies previous methods. Similar to previous algorithms, it assumes spatial smoothness of the illumination field. In addition, knowledge of the limited dynamic range of the reflectance is used as a constraint in the recovery process. A penalty term is also included, exploiting a-priori knowledge of the nature of the reflectance image. The proposed formulation adopts a Bayesian view point of the estimation problem, which leads to an algebraic regularization term, that contributes to better conditioning of the reconstruction problem. Based on the proposed variational model, we show that the illumination estimation problem can be formulated as a Quadratic Programming optimization problem. An efficient multi-resolution algorithm is proposed. It exploits the spatial correlation in the reflectance and illumination images. Applications of the algorithm to various color images yield promising results.

Triangle mesh compression

Abstract: A method for compressing a mesh having a plurality of vertices, each vertex characterized by a degree equal to the number of edges incident thereon, including arranging substantially all of the vertices in a consecutive order, generating a topology list including the degrees of the vertices in the consecutive order, and providing a coded stream of signals including the topology list