By Yongquan Zhou, Yanlian Du, Zhengxin Huang (auth.), De-Shuang Huang, Martin McGinnity, Laurent Heutte, Xiao-Ping Zhang (eds.)
The foreign convention on clever Computing (ICIC) was once shaped to supply an annual discussion board devoted to the rising and demanding subject matters in synthetic intel- gence, laptop studying, development acceptance, photo processing, bioinformatics, and computational biology. It goals to assemble researchers and practitioners from either academia and to proportion principles, difficulties, and options regarding the m- tifaceted points of clever computing. ICIC 2010, held in Changsha, China, August 18-21, 2010, constituted the sixth - ternational convention on clever Computing. It equipped upon the good fortune of ICIC 2009, ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005, that have been held in Ulsan, Korea, Shanghai, Qingdao, Kunming and Hefei, China, respectively. This 12 months, the convention centred in general at the theories and methodologies in addition to the rising purposes of clever computing. Its objective was once to unify the image of up to date clever computing suggestions as an necessary idea that highlights the developments in complex computational intelligence and bridges theoretical study with purposes. accordingly, the subject for this convention used to be “Advanced clever Computing know-how and Applications.” Papers targeting this subject matter have been solicited, addressing theories, methodologies, and purposes in technology and technology.
Read or Download Advanced Intelligent Computing Theories and Applications: 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings PDF
Best computing books
Grid Computing The New Frontier of High Performance Computing
The booklet offers with the newest expertise of allotted computing. As net keeps to develop and supply sensible connectivity among clients of desktops it has develop into attainable to think about use of computing assets that are some distance aside and attached by way of huge sector Networks. rather than utilizing in simple terms neighborhood computing energy it has turn into useful to entry computing assets greatly dispensed.
Step by step directions for seniors to wake up and working on a house PCAnswering the decision for an up to date, uncomplicated machine consultant distinct in particular for seniors, this useful publication comprises easy-to-follow tutorials that escort you thru the fundamentals and exhibits you ways to get the main from your computing device.
This quantity of Advances in clever structures and Computing includes approved papers offered at WSC17, the seventeenth on-line global convention on gentle Computing in commercial purposes, held from December 2012 to January 2013 on the web. WSC17 keeps a winning sequence of clinical occasions began over a decade in the past by means of the realm Federation of sentimental Computing.
Distributed Computing and Artificial Intelligence, 13th International Conference
The thirteenth foreign Symposium on disbursed Computing and synthetic Intelligence 2016 (DCAI 2016) is a discussion board to give functions of cutting edge strategies for learning and fixing advanced difficulties. The trade of rules among scientists and technicians from either the tutorial and commercial quarter is key to facilitate the advance of platforms which may meet the ever-increasing calls for of today’s society.
- Enterprise Modeling and Computing With UML
- The Practice of Network Security Monitoring: Understanding Incident Detection and Response
- COMPUTERSHigh Performance Computing
- Cognitive Networked Sensing and Big Data
Extra resources for Advanced Intelligent Computing Theories and Applications: 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings
Example text
Thus, we proposed a combination of AdaBoost and Random Forests to improve the performance of Face Detection. 4 Experimental Results and Analysis The training sample set comes from the MIT-CBCL database, which includes 2429 face images and 4554 non-face images, and the database contains face images of variable quality, different facial expressions and a wide range of lighting conditions. Each image of the set has scaled and cropped to a size 64×64 pixels. 1429 face images and 3000 non-face images of MIT-CBCL database are used as training samples.
In the following figures the X-axis denotes the time and the Y-axis denotes the output voltage by ECRH. According to the experiments, Table 1 gives out the detailed data for comparison. Fig. 5. Tracing control using CMAC Fig. 6. Tracing control with PID 14 P. Du and X. Luo Table 1. 75 193 268 420 From the comparisons above it can be seen that the intelligent method proposed in this paper can trace the voltage much more quickly and the overshoot is much smaller so the control system in this paper is more stable and has faster speed.
Table 1. 652s 30 11 12 From Table 1, we can see AdBoostRF can achieve lower classification errors than AdaBoost. 14% than AdaBoost, even higher than AdaBoostSVM. In addition, the number of false detection is decreased to 11 compared with AdaBoost, even lower than AdaBoostSVM. From these data, we can easily find that there is a great improvement in detection performance after we use AdBoostRF. From Figure 3, we can also know AdBoostRF has the best detection performance among three algorithms. Fig.
