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…

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…

To recognize a previously seen object, the visual system must overcome the variability in the object's appearance caused by factors such as illumination and pose. Developments in computer vision suggest that it may be possible to counter the influence of…

The objective of this study is to improve quality and reliability of safety-critical software in the nuclear industry. It is accomplished by focusing on the following two areas: Formulation of a standard extensive integrated software testing strategy for safety-critical software,…

In recent years, researchers in artificial intelligence have become interested in replicating human physical reasoning talents in computers. One of the most important skills in this area is predicting how physical systems will behave. This thesis discusses an implemented program…

In this article we describe our experience in the development of a personalizable dissemination model for the Miguel de Cervantes Digital Library’s Web-based newsletter-service, which combines adaptive with adaptable personalization techniques, being capable or ranking news according to navigation-inferred preferences…

This paper derives recursive algorithms for efficiently computing event probabilities related to order statistics and applies the results in a queue inferencing setting. Consider a set of N i.i.d. random variables in [0, 1]. When the experimental values of the…

Abstract:
The development project in both capitalist and socialist contexts has augmented the power of technocrats while invalidating alternative knowledge systems rooted in the traditions of local communities, thereby disenfranchising them. Recreating space for the autonomy of such communities requires…

Abstract: In today’s competitive global economy characterized by knowledge acquisition, the concept of knowledge management has become increasingly prevalent in academic and business practices. Knowledge creation is an important factor and remains a source of competitive advantage over knowledge management.…

To understand speech in noisy situations, listeners must not only `extract' the speech signal from the background noise, but also determine the meaning of the words and phrases in the extracted signal, integrate this information with past knowledge, and store…