this is very good application for face traccking.it contains more and good differnt features.if u rotate face right side it will show the Direction for rignt side.if u rotate face left side it will show the Direction for left side.
this is very good application for face traccking.it contains more and good differnt features.if u rotate face right side it will show the Direction for rignt side.if u rotate face left side it will show the Direction for left side.
this is very good application for face traccking.it contains more and good differnt features.if u rotate face right side it will show the Direction for rignt side.if u rotate face left side it will show the Direction for left side.
this is very good application for face traccking.it contains more and good differnt features.if u rotate face right side it will show the Direction for rignt side.if u rotate face left side it will show the Direction for left side.
Argh! Where s my mouse? Ah look at the eyes .... there it is! )) Mouse Eyes is another mouse cursor follower. Mouse eyes idea is indicating which Direction to look in to find your mouse cursor.
Abtract - We propose a new family of fi lter banks,
named NDFB, that can achieve the Directional decomposition
of arbitrary N-dimensional (N ≥ 2) signals with a simple and
effi cient tree-structured construction.
Program helping you to remember the route.
It cab be route from conference room to coffee-room, it can be tourist trip, it can be pathway in labyrinth. during first traversal you make notes in you phone, specifying Direction of movement and target of each step. Phone remembers how much time each steps takes. Then you can just inspect information about this trip and check duration of each stage and the whole trip. You can also replay it in forward and backward Direction. So if somebody show you the shortest way to coffee machine, you can easily find the way back and can repeat this trip in future.
壓縮包中有5篇論文，分別為《Data-driven analysis of variables and dependencies in continuous optimization problems and EDAs》這是一篇博士論文，較為詳細的介紹了各種EDA算法；《Anisotropic adaptive variance scaling for Gaussian estimation of distribution algorithm》《Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction with Archive》《Niching an Archive-based Gaussian Estimation of Distribution Algorithm via Adaptive Clustering》《Supplementary material for Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction with Archive》《基于一般二階混合矩的高斯分布估計算法》介紹了一些基于EDA的創新算法。
Due to the asymmetry between the amount of data traffic in the downlink and
uplink Direction of nowadays and future wireless networks, a proper design of the
transceivers in the broadcast channel is inevitable in order to satisfy the users’
demands on data rate and transmission quality. This book deals with the optimi-
zation-based joint design of the transmit and receive filters in a MIMO broadcast
channel in which the user terminals may be equipped with several antenna ele-
ments.
