http://www.cvchina.info/tag/icpr/
http://iris.usc.edu/Information/Iris-Conferences.html
https://blog.csdn.net/wzebinbin/article/details/53212658
Occasionally Posts: Summary of AI meeting (by South Zhou Zhihua)
Description: purely personal opinion, for reference only tier-1 Lie was relatively full, less a whole tier-2, tier-3 is very full.
The same points are arranged alphabetically. Not very precise to say, tier-1 is envy, tier-2 can make
Dear people, due to the very large number of AI-related conferences, they are able listed as tier-3 is also a good
tier-1:
IJCAI (1+): International Joint Conference on Artificial Intelligence AAAI (1): National Conference on Artificial Intelligence
COLT (1): Annual Conference on Computational Learning Theory
CVPR (1): IEEE International Conference on Computer Vision and Pattern Recognition
ICCV (1): IEEE International Conference on Computer Vision
ICML (1): International Conference on Machine Learning
NIPS (1): Annual Conference on Neural Information Processing Systems
ACL (1-): Annual Meeting of the Association for Computational Linguistics
KR (1-): International Conference on Principles of Knowledge Representation and Reasoning
SIGIR (1-): Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
SIGKDD (1-): ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
UAI (1-): International Conference on Uncertainty in Artificial Intelligence
*Impact factor (According to Citeseer 03):
IJCAI ：1.82 (top 4.09 %)
Competitors: 1.49 (9.17% top)
COLT：1.49 (top 9.25%)
ICCV ：1.78 (top 4.75%)
ICML ：2.12 (top 1.88%)
NIPS ：1.06 (top 20.96%)
ACL ：1.44 (top 10.07%)
KR: 1.76 (Peak 4.99%)
COW: 1.10 (19.0%)
Average：1.56 (top 8.02%)
IJCAI (1+): AI the best overall conference, 1969, once every two years, in odd years since the AI is too open, so although each has been able to record more than 100 articles (now 200. the articles), but there is no assigned to each area a few, as were achine learning, computer vision so much about each field will be about 10, so it is very difficult, but the employment rate fell less from the point of view low, about 20% basically because insiders are Dian Dian components, hopeless waste of time reviewer of a recent investment in mainland China to an international conference of articles like the tide, but also because the domestic few can own gatekeeper study group meeting so many are complain that China's low-quality articles seriously hinder the efficiency of the PC. in this case, the estimated employment rate in recent years will go down international conferences. in addition, the previous IJCAI is no poster and in 2003 it began to reduce the manslaughter good people, increased the poster 2-page. It is worth mentioning that, IJCAI by a seemingly company "IJCAI Inc." hosted (although they are not the company, actual on a Foundation), each meeting to send several awards, the most important of the two is IJCAI Research Excellence Award and Computer & Thoughts Award, the former is a lifetime achievement award, each one is basically AI's highest award ( Interestingly, the AI-based industry to take the Turing Award 6, there are two did not get the award), which is awarded to young scientists under the age of 35, every time a person. these two awards Acceptance speech is a highlight of every IJCAI in addition, the PC member IJCAI other equivalent area chair the meeting, a lot of power, because it is a PC member reviewer went to trial, unlike the general meeting of the PC member is actually reviewer in order to restrict this power, IJCAI the review process of each article is assigned two PC member, primary PC member went 3 reviewer, second PC member find one.
AAAI (1): American Artificial Intelligence . AAAI Society's annual meeting was a good meeting, but its quality is unstable, can give to 1+, can also be given to the 1- or 2 +, overall I give it "1" because it is completely under the open method IJCAI constraints: open every year, but if this year's IJCAI held in North America, then stopped to open it, because there is no IJCAI even-numbered years, it is the best AI general meeting, but the appeal because, after all, is smaller than IJCAI, especially Europeans holding AAAI field than IJCAI much (in fact, Asians also) less so than IJCAI still be a little weaker, and basically 1 1 + between; in odd-numbered years, if not IJCAI North America, AAAI naturally becomes a ratio IJCAI meeting (1- or 2 +) low level, such as in 2005 both IJCAI have AAAI, two were meeting on coordination, making the job offer IJCAI AAAI longer than the deadline a few days early, so IJCAI unsuccessful articles can be cast into the AAAI. IJCAI the PC chair also has been urging upon review that we must be fast, because there AAAI IJCAI been worried about the job offer out late AAAI trouble.
COLT (1): This is the best Conference on Computational Learning Theory, ACM-sponsored, held annually calculated learning theory can be seen as essentially theoretical computer science and. Machine learning intersect, so this will be seen by some as a theoretical computer science . AI will instead I will be a friend in one sentence it was wonderful depiction: "a small group of mathematicians at the meeting," because COLT field is relatively small, so the annual meeting basically those people here. Incidentally an interesting thing, because of the recent national conference to engage too much too freely, and many meetings were LNCS / LNAI out of Proceedings, LNCS / LNAI has basically been ruined, but unfortunately, LNCS / LNAI there are some very good meetings, such as COLT.
CVPR (1): One of the best conferences computer vision and pattern recognition, IEEE-sponsored, held every year on computer vision, although there are problems, but personally think it's the taste of pattern recognition heavier in fact it should be a pattern recognition. best conference, and in computer vision, as well as ICCV equivalent. IEEE has been a tendency, we should be accomplishing, "event", the history has been that it will be some good will into "event from quality "a. CVPR they might have to go this route. this article has been recorded in the past few years a lot of the recent meeting of the TC responsible for CVPR chair letter said, for this community, let good people than bad guys manslaughter worse still slipping through the net, so we are not trying to reduce the chance of being a good person manslaughter ah? so I guess next year or the year after will CVPR the enrollment.
ICCV (1): Introduction CVPR time said, will be one of the best computer vision IEEE-sponsored, held every year.
ICML (1):. One of the best machine learning conference sponsored by IMLS is now held annually See the description for the NIPS.
NIPS (1): One of the best aspects of computing conference nerve, NIPS organizer, held annually worth noting that this year will be the venue is the same, a former Denver is now Vancouver, Canada; and it is. the end of the meeting, will open after 2 years before the proceedings, that is to say, a 2006 Proceedings NIPS'05 a name Conference "Advances in Neural Information Processing Systems" , so, with ICML \ ECML this different "standard" machine learning sessions, NIPS, there are a considerable part of the contents of neuroscience, machine learning, and a certain distance. However, due to the main contents of the meeting is a machine learning, or learning a close relationship with the machine, so a lot of people put NIPS conference as one of the best machine learning. this meeting is basically in the hands of Michael Jordan's disciples, so the people of Jordan Department, the hair NIPS is not difficult, some of the work can not be made strong up, but people outside this circle who want to send a really difficult, because left to "outsiders" in the hole is small. so for people outside of Jordan Department, the hair NI PS greater difficulty than ICML. In other words, ICML more open, a small circle of influence is not as NIPS so large North American and Europeans recognize, and NIPS are some people (especially some Europeans, including some people) determined not to contribute. this is certainly not a good thing for the meeting itself, but because of very strong Jordan-based, so it does not seem care. recently IMLS (Institute of machine learning) election director, nominated by qualified people, including nearly three years in ICML \ ECML \ the article COLT sent a man, NIPS were excluded. in any case, this is a very good meeting.
ACL (1-): The best aspects of computational linguistics conference / natural language processing, ACL (Association of Computational Linguistics) organized open each year.
KR (1-): knowledge representation and reasoning one of the best conference, in fact, is the traditional AI (ie, logic-based AI) one of the best conference hosted by KR Inc., is now open even years.
SIGIR (1-): best conference information retrieval, ACM organized this year will now open a small circle of increasingly heavy gas information retrieval should not AI, but because there is more and more used in machine learning. in recent years, even a little taste of machine learning application meeting, so it is also listed in.
SIGKDD (1-): data mining aspects of the best conference, ACM organized every year at this open meeting relatively short history, after all, compared to other fields, data mining is only a little brother, even little nephew a few years ago. hard to put it out there in tier-1, on the one hand is nowhere near the fame and other top conference loud, on the other hand is relatively easy to be hired, but now it is listed should be no doubt in tier-1 thing .
UAI (1-): called "uncertainty in artificial intelligence," involving represents many aspects \ reasoning \ learning, AUAI (Association of UAI) organized open each year.
tier-2:
AAMAS (2+): International Joint Conference on Autonomous Agents and Multiagent Systems
ECCV (2+): European Conference on Computer Vision
ECML (2+): European Conference on Machine Learning
ICDM (2+): IEEE International Conference on Data Mining
SDM (2+): SIAM International Conference on Data Mining
ICAPS (2): International Conference on Automated Planning and Scheduling
ICCBR (2): International Conference on Case-Based Reasoning
COLLING (2): International Conference on Computational Linguistics
ECAI (2): European Conference on Artificial Intelligence
ALT (2-): International Conference on Algorithmic Learning Theory
EMNLP (2-): Conference on Empirical Methods in Natural Language Processing
ILP (2-): International Conference on Inductive Logic Programming
PKDD (2-): European Conference on Principles and Practice of Knowledge Discovery in Databases
*Impact factor (According to Citeseer 03):
ECCV ：1.58 (top 7.20 %)
ECML ：0.83 (top 30.63 %)
ICDM ：0.35 (top 59.86 %)
ICCBR ：0.72 (top 36.69 %)
Achhai: 0.69 (TOP 38.49%)
TOTAL: 0.63 (Top 42.91%)
ILP: 1.06 (Top 20.80%)
PKDD ：0.50 (top 51.26 %)
Average：0.80 (top 32.02%)
AAMAS (2+):. The best aspect of the conference agent but now the agent is already a general concept, there are aspects of the content of this meeting almost all of the AI, so AAMAS downward trend is obvious.
ECCV (2+): computer vision ICCV after the meeting, because this area has developed rapidly, it is possible to upgrade to a 1- to go.
ECML (2+): machine learning ICML after the meeting, the Europeans tried to join in, some people think it is 1 I had a bit more conservative, still put it in the machine learning has developed rapidly since 2+,. reputation of this conference rise very significantly.
ICDM (2+):. SIGKDD data mining after the meeting, this will be fairly current and SDM only five years old, a fast rise speed is amazing few years ago ICDM less than the PAKDD, now it has been opened. a large distance.
SDM (2+): data mining SIGKDD after the meeting, current and ICDM quite SIAM foundation is very thick, but the impact of the CS inside than the ACM and IEEE or a smaller, SDM to be seeing more than ICDM. but at least for now still considerable.
ICAPS (2): The best artificial intelligence planning meeting, the merger of previous international conferences in Europe and planning to come because this area gradually become deserted, the impact has been smaller than before.
ICCBR (2):. Case-Based Reasoning best aspects of the meeting because the field is not too large, and has been semi-cold nor hot, so always stay on the 2.
COLLING (2): Computational Linguistics / natural language processing will be second only to the ACL, but the gap with the ACL than ICCV-ECCV and ICML-ECML is much greater.
ECAI (2): European Conference on Artificial Intelligence comprehensive, long history, but because there are IJCAI / AAAI pressing, it is difficult to rise.
ALT (2-): a bit like COLT's tier-2 version, but because people do not learn the theoretical calculation of how much, well done to count the number of opinions always such a group, COLT basically to go, so there are no ALT not content less computational learning theory.
EMNLP (2-):. Computational Linguistics / natural language processing will be a good and some people think COLLING pretty, but I think it is a little weaker.
ILP (2-): best conference inductive logic design program but because there are a lot of other conferences in terms of content ILP, so it can only keep the 2- position.
PKDD (2-): European Data Mining Conference, which is currently ranked No. 4. Data Mining Conference Europeans want to put it up, and so all these years has been tied open and ECML together, hoping to bring it up by ECML but because ICDM and SDM, which is already unlikely, so this year, though still open PKDD and ECML together, but has been independent reviewers of the (previously two would be cast simultaneously, authors can declare which would be considered a priority, If you can not ECML also can be PKDD accepted).
tier-3:
ACCV (3+): Asian Conference on Computer Vision
DS (3+): International Conference on Discovery Science
ECIR (3+): European Conference on IR Research
ICTAI (3+): IEEE International Conference on Tools with Artificial Intelligence
PAKDD (3+): Pacific-Asia Conference on Knowledge Discovery and Data Mining
ICANN (3+): International Conference on Artificial Neural Networks
AJCAI (3): Australian Joint Conference on Artificial Intelligence
CAI (3): Canadian Conference on Artificial Intelligence
CEC (3): IEEE Congress on Evolutionary Computation
FUZZ-IEEE (3): IEEE International Conference on Fuzzy Systems
GECCO (3): Genetic and Evolutionary Computation Conference
ICASSP (3): International Conference on Acoustics, Speech, and Signal Processing
ICIP (3): International Conference on Image Processing
ICPR (3): International Conference on Pattern Recognition
IEA/AIE (3): International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems
IJCNN (3): International Joint Conference on Neural Networks
IJNLP (3): International Joint Conference on Natural Language Processing
PRICAI (3): Pacific-Rim International Conference on Artificial Intelligence
*Impact factor (According to Citeseer 03):
ACCV ：0.42 (top 55.61%)
ICTAI ：0.25 (top 69.86 %)
PAKDD ：0.30(top 65.60 %)
ICANN ：0.27 (top 67.73 %)
AJCAI ：0.16 (top 79.44 %)
CAI: 0.26 (top 68.87%)
ICIP ：0.50 (top 50.20 %)
IEA / AIE: 0.09 (87.79% top)
PRICAI ：0.19 (top 76.33 %)
Average：0.27 (top 68.30%)
ACCV (3+): Conference on Computer Vision Asia, considered very good in the conference in the Asia-Pacific level.
DS (3+): Japanese sponsored a conference on data mining approaches.
ECIR (3+): Information Retrieval Conference in Europe, just a few years ago to retrieve information meeting in the UK.
ICTAI (3+): IEEE Conference on Artificial Intelligence main, partial application, is to be a typical run of bad IEEE previous quality is good, but the longer the reputation actually do worse, and worse, it seems to continue. decline, in fact, now a 3+ have been less bearable.
PAKDD (3+): Asia-Pacific mining conference, currently ranked fifth in the conference in data mining.
ICANN (3+): European conference neural network, the neural network is the best conference, but the people in this area do not pay attention to the meeting, it's not as important as the quality IJCNN in this area is.
AJCAI (3): integrated Artificial Intelligence conference in Australia, quite good AI level meeting at the country / region.
CAI (3): integrated Artificial Intelligence conference in Canada, quite good AI level meeting at the country / region.
CEC (3):. One of the most important aspects of evolutionary computing conference, event type IJCNN / CEC / FUZZ-IEEE Computational Intelligence of these three meetings are the most important meeting or soft computing, they are often open together, then you called WCCI (World Congress on Computational Intelligence). but in this area and other branches of CS are not the same, and it touches on other subjects like only paid attention to journal, do not pay attention to the conference and the acceptance rate is often about 85%, both the quality of the recorded article the paper is very high, there are Getting Started assignments.
FUZZ-IEEE (3): The most important aspect of meeting fuzzy, event type, see CEC's introduction.
GECCO (3): One of the most important aspects of evolutionary computing conference, the CEC pretty, event type.
ICASSP (3): One of the most important aspects of the conference speech, people in this area is not very care conference.
ICIP (3): One of the most famous image processing conference, event type.
ICPR (3): One of the most famous pattern recognition meeting, event type.
IEA / AIE (3):. Artificial Intelligence Applications Conference nominations for best paper of general meetings are usually only a few articles, be nominated is already very high honor, this will be fun, each chapter is engaged 1,20 excellent nomination papers, do a few special session to do was nominated papers report, it is actually very busy.
IJCNN (3): The most important aspect of neural network meeting, event type, see CEC's introduction.
IJNLP (3): Computational Linguistics more famous / natural language processing aspects of a meeting.
PRICAI (3): Asia-Pacific Conference on Artificial Intelligence comprehensive, although not a short history, but because it is better than too much or quite comprehensive meeting, it is difficult to rise.
The column list just to help newcomers are familiar with the field, score or rank given are personal opinions only reference in particular to note is:
Articles on the 1. tier-1 conference is not necessarily better than the tier-3, can only say a higher average level of the former.
2. The quality of work is not to publish it, published in the high-end place to decide just where. Published an article cited 10 times in order to make the job easier by his colleagues noticed tier-3 ratio possible meeting published 10 articles cited 0 times in the tier 1-on meeting more valuable. Therefore, the number of articles a few top meeting did not mean much, it is important to evaluate the extent of peers and recognition.
3. Many classic work is not published in the published source of high-grade, there are many classic work even on very low-grade published in published sources for many reasons, not elaborate.
After the meeting 4. The meeting is due to review the tight schedule, victimizes good guys and the bad guys lose a case abound, not to mention also take into account there are a lot of students just started doing research on behalf of the owner of reviewers.
reputation 5. meeting is not static, new meeting may start a little reputation, but a few years after the pheasant become the Phoenix, the old original meeting may well reputation, but increasingly sliding down.
6. The only place an emphasis on computer science conference papers, other subjects are not the meeting seriously. But in computer science have not paid much attention meetings branch.
7. Politics is everywhere. Who is your boss, which you study group, you are in the unit, these simple factors may result in a decisive impact. In other words, the difficulty of people in different environments published is not the same. Knowing this after, you might be high-level published an article from the low-level units of unknown authors pay particular attention to the source (for example, if the published author of Pingdingshan Institute of Railway Electronics and information Technology article on <computer University ", I will carefully read).
8. The evaluation system has a huge impact. No matter where scholars to make a living, you need to go up to meet the evaluation system to some extent, or even have no way out, and talk about doing research. Domestic, because the evaluation system is only concerned journal, have some work to do a good job of scholars never even voted meeting. in addition, the fund also has a huge role in the constraints. foreign lot of good study group meetings are often an important article, but the country is not enough, some low-grade meeting may also voted to pay only the registration fee does not meet, do not do high-end conference report will be very negative impact, it can only cast a few meetings. this is the country doing research CS worst place my a guess: RMB appreciation on domestic CS studies will be no small promotion (of course, the RMB appreciation is difficult to say more good than harm or more harm than good for China as a whole).