Lecture from Prof. Andrew Ng at Stanford university

Machine Learning, Probability and Graphical Models

Sam Roweis

4 videos

author: Yee Whye Teh, University College London

The Bayesian approach allows for a coherent framework for dealing with uncertainty in machine learning. By integrating out parameters, Bayesian models do not suffer from overfitting, thus it is conceivable to consider models with infinite numbers of parameters, aka Bayesian nonparametric models. An example of such models is the Gaussian process, which is a distribution over functions used in regression and classification problems. Another example is the Dirichlet process, which is a distribution over distributions. Dirichlet processes are used in density estimation, clustering, and nonparametric relaxations of parametric models. It has been gaining popularity in both the statistics and machine learning communities, due to its computational tractability and modelling flexibility.

In the tutorial I shall introduce Dirichlet processes, and describe different representations of Dirichlet processes, including the Blackwell-MacQueen? urn scheme, Chinese restaurant processes, and the stick-breaking construction. I shall also go through various extensions of Dirichlet processes, and applications in machine learning, natural language processing, machine vision, computational biology and beyond.

In the practical course I shall describe inference algorithms for Dirichlet processes based on Markov chain Monte Carlo sampling, and we shall implement a Dirichlet process mixture model, hopefully applying it to discovering clusters of NIPS papers and authors.

Dirichlet Processes: Tutorial and Practical Course

Yee Whye Teh

2 videos

Speaker: Fei-Fei Li, Princeton University

Speaker: Andrew Zisserman, Univ. of Oxford.

The lecture is available on  http://videolectures.net/lmcv04_zisserman_tvmoc/

The iCub is thrown open to the general public on Feb 19.  The iCub is a 53 degree-of-freedom humanoid robot of the approximate size of a three year-old child.  The details are avaialbe on the website, http://eris.liralab.it/wiki/Deliverable_7.1

I hope that iCub is as intelligent as three year-old child as well.  The following video shows how iCub learns unknown objects, but looks so basic.

석사시절 참여했었던 과제였는데…  계속 좋은 결과가 있었음 좋겠다..

어쨋든 반가운 소식~!!

——————————————————————————————-

외로운 노인들과 감성을 교류하며 일상생활을 도와주는 세계 최초의 ‘실버 도우미 로봇’이 국내 기술진에 의해 탄생했다. 게임을 통해 치매 관리를 할 수 있는 것은 물론 일정관리, 영어교육 등의 기능이 탑재돼 있다.지식경제부 프론티어사업단은 5년간의 연구개발 끝에 빛을 본 실버 도우미 로봇 ‘실벗’ 등 지능형 로봇 연구성과물을 19일 오전 서울 서초구 양재동 aT센터(농수산물유통공사)에서 열린‘제11회 프론티어 사업 기술교류회’에서 공개했다.

‘실버세대의 벗’이란 뜻으로 이름을 붙인 실벗은 다정한 신사 이미지가 강한 펭귄 형태로, 음성과 얼굴 표정으로 감정을 표현할 수 있다. 키는 160㎝이며, 약 3m 떨어진 거리에서 주인의 음성을 인식하고 위치를 파악해 이동한다. 원영준 지경부 로봇팀장은 “음성대화를 토대로 노인들의 약 먹을 시간도 알려준다”고 말했다.

이날 시연회에 나선 실벗은 모니터상에서 주인과 ‘고스톱’을 치면서 대화도 나눠 노인들의 기억력 감퇴를 방지할 수 있는 기능을 갖췄다는 점을 보여줘 관람객들의 탄성을 자아냈다. 실벗을 개발한 김문상 한국과학기술연구원(KIST) 인간기능 생활지원 지능로봇사업단장은 문화일보와의 전화통화에서 “기존 로봇들은 관리자가 직접 입력한 데이터만 인식이 가능한 반면, 이 로봇은 장착된 스테레오 카메라를 이용해 새로운 인물이나 물건을 스스로 등록하고 지식체계에 저장해 새 서비스에 적극 활용한다”면서 “실버세대를 위한 콘텐츠를 갖춘 감성로봇은 세계에서 처음”이라고 말했다.

프론티어사업단은 오는 10월 마산시 노인복지관에 4대의 실벗을 시범 투입해 2개월간 노인들과 감성교류 서비스를 테스트하는 한편 초등학교 영어교육에도 활용하는 등 본격적인 상용화 가능성을 살필 계획이다. 사업단은 1, 2년후 시장이 확보돼 대량생산이 이뤄지면 1대당 500만~1000만원에 가격이 형성될 수 있을 것으로 예상했다. 이민종기자 horizon@munhwa.com

from http://www.munhwa.com/news/view.html?no=2009021901070224219002&w=nv

Computer vision 분야의 양대 conference CVPR & ICCV.

졸업할수 있을까??  ㅎㅎ 긍정적인 마인드로 다시 분발하자~

AREA: Artificial Intelligence and Related Subjects

  Rank 1:
       AAAI: American Association for AI National Conference
       CVPR: IEEE Conf on Comp Vision and Pattern Recognition
       IJCAI: Intl Joint Conf on AI
       ICCV: Intl Conf on Computer Vision
       ICML: Intl Conf on Machine Learning
       KDD: Knowledge Discovery and Data Mining
       KR:  Intl Conf on Principles of KR & Reasoning
       NIPS: Neural Information Processing Systems
       UAI: Conference on Uncertainty in AI
       ICAA: International Conference on Autonomous Agents
       ACL: Annual Meeting of the ACL (Association of Computational Linguistics)

  Rank 2:
       AID: Intl Conf on AI in Design
       AI-ED: World Conference on AI in Education
       CAIP: Inttl Conf on Comp. Analysis of Images and Patterns
       CSSAC: Cognitive Science Society Annual Conference
       ECCV: European Conference on Computer Vision
       EAI: European Conf on AI
       EML: European Conf on Machine Learning
       GP: Genetic Programming Conference
       IAAI: Innovative Applications in AI
       ICIP: Intl Conf on Image Processing
       ICNN/IJCNN: Intl (Joint) Conference on Neural Networks
       ICPR: Intl Conf on Pattern Recognition
       ICDAR: International Conference on Document Analysis and Recognition
       ICTAI: IEEE conference on Tools with AI
       AMAI:  Artificial Intelligence and Maths
       DAS: International Workshop on Document Analysis Systems
       WACV:  IEEE Workshop on Apps of Computer Vision
       COLING: International Conference on Computational Liguistics
       EMNLP: Empirical Methods in Natural Language Processing

  Rank 3:
       PRICAI: Pacific Rim Intl Conf on AI
       AAI: Australian National Conf on AI
       ACCV: Asian Conference on Computer Vision
       AI*IA: Congress of the Italian Assoc for AI
       ANNIE: Artificial Neural Networks in Engineering
       ANZIIS: Australian/NZ Conf on Intelligent Inf. Systems
       CAIA: Conf on AI for Applications
       CAAI: Canadian Artificial Intelligence Conference
       ASADM: Chicago ASA Data Mining Conf: A Hard Look at DM
       EPIA:  Portuguese Conference on Artificial Intelligence
       FCKAML: French Conf on Know. Acquisition & Machine Learning
       ICANN: International Conf on Artificial Neural Networks
       ICCB: International Conference on Case-Based Reasoning
       ICGA: International Conference on Genetic Algorithms
       ICONIP: Intl Conf on Neural Information Processing
       IEA/AIE: Intl Conf on Ind. & Eng. Apps of AI & Expert Sys
       ICMS: International Conference on Multiagent Systems
       ICPS: International conference on Planning Systems
       IWANN: Intl Work-Conf on Art & Natural Neural Networks
       PACES: Pacific Asian Conference on Expert Systems
       SCAI: Scandinavian Conference on Artifical Intelligence
       SPICIS: Singapore Intl Conf on Intelligent System
       PAKDD: Pacific-Asia Conf on Know. Discovery & Data Mining
       SMC: IEEE Intl Conf on Systems, Man and Cybernetics
       PAKDDM: Practical App of Knowledge Discovery & Data Mining
       WCNN: The World Congress on Neural Networks
       WCES: World Congress on Expert Systems
       INBS: IEEE Intl Symp on Intell. in Neural \& Bio Systems
       ASC: Intl Conf on AI and Soft Computing
       PACLIC: Pacific Asia Conference on Language, Information and Computation
       ICCC: International Conference on Chinese Computing

  Others:
       ICRA: IEEE Intl Conf on Robotics and Automation
       NNSP: Neural Networks for Signal Processing
       ICASSP: IEEE Intl Conf on Acoustics, Speech and SP
       GCCCE: Global Chinese Conference on Computers in Education
       ICAI:  Intl Conf on Artificial Intelligence
       AEN: IASTED Intl Conf on AI, Exp Sys & Neural Networks
       WMSCI: World Multiconfs on Sys, Cybernetics & Informatics

Player rating from skysport : Park – tireless 8

Park’s play

Goals

Are you a firefox user?

I would strongly recommend fire.fm,  add-on for firefox.  This add-on automatically finds a variety of songs similar to your taste and plays them.  It is extremly cool to me. I really love this add-on.

https://addons.mozilla.org/en-US/firefox/addon/7684

Categories