Pattern recognition consists in finding a correspondence between patterns and their prototypes. Intrinsically, it is a distributed process in terms of goals to be reached, zones to be processed and methods to be applied. In this paper, a multi-agent based self-adaptive pattern recognition framework is proposed to cope with the difficulties in the procedure. Each agent is dedicated to recognize ...

System Dynamics (SD) is a special type of simulation modeling where output validity refers to validating the patterns of dynamic behaviors, such as oscillations, growth or decline. The developers and users of these models (the decision makers and people affected by decisions based on such models) are all rightly concerned with whether a model and its results are “valid.” Structural model validi...

Scale-space is an important recent concept used in image processing and pattern recognition. Traditional scale-space is generated by a linear smoothing operation. We present here a nonlinear type of smoother related to mathematical morphology which meets (modiied) \scale-space ax-ioms" and also generates a \scale-space." This scale-space is full-plane and preserves the positions of features.

The support vector machine (SVM) has been widely used in pattern recognition, regression and distribution estimation for crisp data. However, when dealing with large-scale data sets, the solution by using SVM with nonlinear kernels may be difficult to find. Under this circumstance, to develop an efficient method is necessary. Recently the reduced support vector machine (RSVM) was proposed as an...

In this paper we present a new generic method for modeling and evaluating the relative positioning of handwritten patterns. Thanks to a morphological approach it handles the variability of handwritten shapes and providing a flexible fuzzy description of positioning relations. We propose a way to automatically learn such spatial relation models from samples, and prove that resulting models can b...

When a secure component executes sensitive operations, the information carried by the power consumption can be used to recover secret information. Many different techniques have been developped to recover this secret, but only few of them focus on the recovering of the executed code itself. Indeed, the code knowledge acquired through this step of Simple Power Analysis (SPA) can help to identify...

We investigate the performance of conventional bandwidth estimators for non-parametric kernel density estimation on a number of representative pattern-recognition tasks, to gain a better understanding of the behaviour of these estimators in high-dimensional spaces. We show that there are several regularities in the relative performance of conventional kernel bandwidth estimators across differen...

Theoretical and practical aspects of classification systems and classification learning are considered. Analysis of subject area learning sets and analysis of classification schemes raises a number of nonstandard questions, such as relations between categorization/metadata and logic-combinatorial structuring/clustering of the descriptive part of the input table. Several such questions are treat...

Movement of entities and phenomena is one of the main processes in our physical environment. We are fundamentally dealing with how objects move through the basic framework of our physical world, defined by geographic space and time. Within this context, the ubiquity of tracking and positioning technology has led to large amounts of movement data being generated. This has created issues for anal...

Limitations placed on wire chambers by radiation damage and rate requirements in .3, the SSC environment, are reviewed. Possible conceptual designs for wire chamber tracking systems that meet these requirements are discussed. Computer simulation studies of tracking in such systems are presented. Simulations of events from interesting physics at the SSC, including hits from minimum bias backgrou...