. Experimental results on three face databases show that the proposed 2DMMP algorithm outperforms other related algorithms in terms of recognition accuracy.

and cluster structure of the face space. Meanwhile, the OAHP method can produce orthogonal basis vectors to preserve the metric structure of face space, which greatly enhances the discriminating power of the reduced lower-dimensional feature space. Experimental results on three face databases show

genetic tuning, a better set of parameters of the database can be achieved. Our proposal is to find a better representation of the input data attributes and find a minimum distance between the original output of the data set and the output given by the Wang and Mendel's method keeping a good

) Jeffrey Scott Vitter Center for Geometric Computing and Department of Computer Science Duke University Durham, NC 27708--0129 USA jsv@cs.duke.edu Min Wang y Center for Geometric Computing and Department of Computer Science Duke University Durham, NC 27708--0129 USA minw@cs.duke.edu Bala Iyer

Abstract Traditionally, SQL query language is used to search the data in databases. However, it is inap-propriate for end-users, since it is complex and hard to learn. It is the need of end-users that searching in data-bases with keywords, like in web search engines. This paper presents a survey

++, and combines key technologies like network communication, geographic information system and SQL2005 database, so as to analyze data on water quality collected by instrument and realize functions like real-time monitoring and history inquiry of information on water quality. In addition, high

. Furthermore, in order to exploit all the available information from the first phase, class-specific discriminant functions are defined based on score functions derived from the N-best lists. Our experimental results on the standard ATIS database indicate a notable reduction in CER from the earlier best result

Wang H, Liu YW, Zuo WL. Using classifiers to find domain-specific online databases automatically. Journal

on Wang database. Experimental results show that proposed method is more efficient and effective in image retrieving from database than existing methods.

Prior experimental and empirical research documents that many investors have a lower propensity to sell those stocks on which they have a capital loss. This behavioral phenomenon, known as \the disposition e®ect, " has implications for equilibrium prices. We investigate the temporal pattern of stock prices in an equilibrium that aggregates the demand functions of both rational and disposition investors. The disposition e®ect creates a spread between a stock's fundamental value { the stock price that would exist in the absence of a disposition e®ect { and its market price. Even when a stock's fundamental value follows a random walk, and thus is unpredictable, its equilibrium price will tend to underreact to information. Spread convergence, arising from the random evolution of fundamental values, generates predictable equilibrium prices. This convergence implies that stocks with large past price run-ups and stocks on which most investors experienced capital gains have higher expected returns than those that have experienced large declines and capital losses. The pro¯tability of a momentum strategy, which makes use of this spread, depends on the path of past stock prices. Crosssectional empirical tests of the model ¯nd that stocks with large aggregate unrealized