Image segmentation refers to segmenting or dividing an image which corresponds to objects or different parts of an object. The segmentation is carried out using K-means clustering algorithm, which is a fast and efficient way to segment an image. K-means is one of the most widely used algorithm. We have implemented a color based image segmentation using Kmeans clustering technique. The K-means a...

We model evolution according to an asymmetric game as occurring in multiple finite populations, one for each role in the game, and study the effect of subjecting individuals to stochastic strategy mutations. We show that, when these mutations occur sufficiently infrequently, the dynamics over all population states simplify to an ergodic Markov chain over just the pure population states (where e...

An approach for 3D surface reconstruction from two uncalibrated views is proposed in this paper. The SUSAN corner detector is used for corners from points in edges, which are detected by Sobel edge operator. After corners matching between two images, the fundamental matrix is estimated to acquire 3D structure from matched corners by an improved weighted linear algorithm, which is based on the e...

Biometric identification using palm print is a reliable technology and has various advantages over other biometric traits. In this paper, the feature extraction of palm print is carried out using multi scale wavelet edge detection. The result and performance is compared with conventional edge detection techniques like Sobel and Canny methods. The experiment is carried out on a polyu database an...

A neoclassical microeconomics is one of social science’s success stories, a growing body of experimental and empirical research has documented substantial deviations from its core behavioral assumptions and predictions (Selten 1990, 1998; Thaler 1992; Rabin 1998; Frederick, Loewenstein, and O’Donoghue 2002; Camerer 2003; Sobel 2005; DellaVigna 2009; Armstrong and Huck 2010; Crawford, Costa-Gome...

This paper describes an attempt to extract multiple topological structures. hidden in time-spectrum (TS) patterns, by using multiple mappmg operators, and to incorporate the operators into the feature extractor of a speech recognition system. In the previous work, the author proposed a novel feature-extraction method based on MAFP/KLT (MAFP: multiple acoustic-feature planes), in which 3x3 deriv...

I outline and motivate a way of implementing a closest world theory of indicatives, appealing to Stalnaker’s framework of open conversational possibilities. Stalnakerian conversational dynamics helps us resolve two outstanding puzzles for a such a theory of indicative conditionals. The first puzzle—concerning so-called ‘reverse Sobel sequences’—can be resolved by conversation dynamics in a theo...

392 ∗ Sobel: University of California, San Diego. I presented a version of this paper at the First World Congress of the Game Theory Society and to my colleagues at the Center for Advanced Study in the Behavioral Sciences. I thank Eli Berman, Antonio Cabrales, Miguel CostaGomes, Vincent Crawford, David M. Kreps, Herbert Gintis, Mark Machina, Efe Ok, Luís Pinto, Matthew Rabin, Paul Romer, Klaus ...

I formalize the notion of equilibrium language, define the relation of having a richer language, and show the existence of equilibria with maximally rich language. I also study the stability of equilibria with respect to inflows of messages that can enrich their language, and provide examples of implausible cheap-talk equilibria, not refined away by the existing refinements, which can be refine...

A lane detection algorithm for complex environment was proposed. It was concerned on selecting candidate lane region by object segmentation. Then redundancy edges were extracted by Sobel operator. Furthermore, candidate lane markers were obtained by threshold selection from the edges. Finally lane markers were detected by piecewise fitting. The proposed algorithm was simulated in MATLAB. Experi...