'International joint conference' presentation slideshows

Path finding Framework using HRR

527 views • 38 slides

SHadoop : Improving MapReduce Performance by Optimizing Job Execution Mechanism in Hadoop Clusters

SHadoop : Improving MapReduce Performance by Optimizing Job Execution Mechanism in Hadoop Clusters. Rong Gu , Xiaoliang Yang, Jinshuang Yan, Yuanhao Sun, Chunfeng Yuan, Yihua Huang J. Parallel Distrib . Comput . 74 (2014) 13 February 2014 SNU IDB Lab. Namyoon Kim. Outline.

501 views • 34 slides

An Empirical Evaluation of Machine Learning Approaches for Angry Birds

An Empirical Evaluation of Machine Learning Approaches for Angry Birds. Anjali Narayan-Chen, Liqi Xu, & Jude Shavlik University of Wisconsin-Madison. Presented in Beijing at the 23rd International Joint Conference on Artificial Intelligence , 2013. Angry Birds Testbed.

452 views • 27 slides

Chapter 25: Challenges and Extensions

425 views • 26 slides

IT project management ITEC 511

IT project management ITEC 511. Presenters: Kotoua Selira & Shola G.Oroja Online Education in North Cyprus Universities: Case Study: Eastern Mediterranean University. The outline of the topics. Introduction to online learning Unique features to online education Collaborative Learning

358 views • 23 slides

Bayesian Network Tools in Java (BNJ) v2.0

Bayesian Network Tools in Java (BNJ) v2.0. William H. Hsu Other Contributors Roby Joehanes Prashanth Boddhireddy Haipeng Guo Siddharth Chandak Benjamin B. Perry Charles Thornton Julie A. Thornton http://bndev.sourceforge.net. What is BNJ?.

573 views • 21 slides

Semi-Supervised Learning from Imperfect Data through Particle Cooperation and Competition

327 views • 21 slides

Neural Computing Group Department of Computing University of Surrey

In-situ Learning in Multi-net Systems. Matthew Casey and Khurshid Ahmad. 25 th August 2004. Neural Computing Group Department of Computing University of Surrey. http://www.computing.surrey.ac.uk/personal/st/M.Casey/. Classification and Multi-nets. Multiple classifiers:

274 views • 14 slides

Lemuel

Lemuel. Panlingual Lexical Translation. Christopher Lim (8/06/2009). Overview. The Problem Our Solution Demonstration Ongoing Research Acknowledgements. Note: This presentation is abridged. Request the complete one from chrislim@cs.washington.edu. Goal.

259 views • 14 slides

M.Tech Seminar topics in Natural Language Processing ( 2014)

M.Tech Seminar topics in Natural Language Processing ( 2014). Pushpak Bhattacharyya Computer Science and Engineering Department IIT Bombay www.cse.iitb.ac.in/~pb. Goals of the M.Tech seminar. Independent study: breadth, depth, recency

427 views • 14 slides

Hand-written character recognition

Hand-written character recognition. Failure rate for test samples. MNIST: a data set of hand-written digits 60,000 training samples 10,000 test samples Each sample consists of 28 x 28 = 784 pixels Various techniques have been tried Linear classifier: 12.0%

409 views • 13 slides

Design and implementation of server cluster dynamic load balancing based on OpenFlow

Design and implementation of server cluster dynamic load balancing based on OpenFlow. 2013 International Joint Conference on Awareness Science and Technology and Ubi -Media Computing ( iCAST -UMEDIA),. Author(s): Zhihao Shang , Wenbo Chen ,Qiang Ma , Bin Wu. Introduction.

329 views • 11 slides

IEEE Biometrics Council Update for SSCS AdCom + IEEE Life Sciences New Initiative

IEEE Biometrics Council Update for SSCS AdCom + IEEE Life Sciences New Initiative. Bruce Hecht SSCS Rep to IEEE Biometrics Council August 15, 2011. ICs for Biometrics Applications. Sensors + Signal Processing Integration Fingerprint Retina Image Face Ear Heart (ECG or Sound) Hand

194 views • 4 slides

47 th Annual Meeting of the Association for Computational Linguistics and

47 th Annual Meeting of the Association for Computational Linguistics and 4 th International Joint Conference on Natural Language Processing Of the AFNLP. 2-7 Aug 2009.

152 views • 3 slides

Enormous Search Space Enough Speed for Interactive Play

65. 65. 62. 65. 90. 62. 83. 65. 35. 90. 49. 62. 30. 83. 80. 2. n. Alpha-Beta Search Space . min. 2. m. 3. sum. 1. 1. 1. 1. 1. th ? ,th ?. ( 2 , 2 ). th 2 ,th ?-1. th 4 ,th ?-1. a. b. ( 3 , 1 ). ( 2 , 1 ). th 3 th 2. th 3 th 3. ( 1 , 2 ). ( 1 , 2 ). c. d.

78 views • 1 slides