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Saturday, April 29, 2006

Web 2.0 - www.feedss.com - A Chinese css feed search engine

http://www.feedss.com/

You can find my MSN space articles by issuing the query "Computer Graphics". Here comes the search result:
http://www.feedss.com/html/1/1/"Computer+Graphics"

Wednesday, April 26, 2006

BaiDu is recruiting


http://www.cctv.com/program/zgz/20060301/101296.shtml

Saturday, April 22, 2006

Google Calendar

Login using your Google Account Now!!

http://www.google.com/calendar

Wednesday, April 19, 2006

Google China.


I've got to blog this also:
Google China Blog

Min's Prolog Tutorial

Recall the midterm question:

Variables: A, B, C, D.
DA: {1,2,3,4,5}
DB: {3,6}
DC: {2,4,6}
DD: {1,2,3,5}

Constraints:
1. All variables must have different values.
2. A < B
3. C < A

...

http://www.comp.nus.edu.sg/~kanmy/courses/3243_2006/prologTutorial.html

Tuesday, April 18, 2006

I love Windows Messenger

No ads. No blogs. No strangers. No much memory consumption.

Monday, April 17, 2006

To-do List

1. Further Implementation of wolfie + experiments (due: 20th Apr)
2. SMA5505 HW2 (due: 24th Apr)
3. SMA5505 project (due: 15th May)
4. SMA5507 assignment 4 (due: 28th Apr)
5. SMA S.M dissertation (due: 7th May)

Friday, April 14, 2006

Plan for the weekend

1. Finish Advanced Computer Graphics Assignment 3 (written part)
2. Finish Implementation of Wolfie + Experiments
3. Start SMA5505 Homework 2
4. Start SMA5505 Project Implementation

Thursday, April 13, 2006

How to learn Machine Learning (2)

[Note]: Recently, I have been reading a relatively new textbook "Data Mining ---Practical Machine Learning Tools and Techniques" by I.H. Witten and E. Frank (second edition, 2005). It's an excellent textbook overall, giving you a lot of chances to try some hands-on examples. I found one short commentary section in the book very insightful and may fill in some gaps of my comments on machine learning downstairs. In my comments, I kind of downplayed the difference between machine learning and statistics to help beginners get a jump start in the field. I think Witten & Frank's comments are more rigorous, so I decide to type their paragraphs here (with my occasional notes inserted to clarify some concepts) for students who might be interested.

...

http://www.changhai.org/bbs/load_article.php?fid=7&aid=1139342509

How to learn Machine Learning (1)

I really hesitated when I first saw your question last week, you asked a very broad question. If I chose to answer, first it might take too much time to write, second I'm very far from being an expert in this field, third I still view myself as a beginner in studying machine learning. So I thought somebody else in this forum might be able to help you. But now that you are so desperate in seeking help and I seem to be the only person who might give you a minor point to the right direction. Plus it's Friday night, time to relax and write something for fun, so I dare myself help a young student.

...

http://www.changhai.org/bbs/load_article.php?fid=7&aid=1136144089

Prolog Tutorial

Table of Contents
Introduction
--------------------------------------------------------------------------------
1. How to Run Prolog
--------------------------------------------------------------------------------
2. Sample Programs -- Descriptions
2.1 Map colorings
2.2 Two factorial definitions
2.3 Towers of Hanoi puzzle
2.4 Loading programs, editing programs
2.5 Negation as failure
2.6 Tree data and relations
2.7 Prolog lists and sequences
2.8 Change for a dollar
2.9 Map coloring redux
2.10 Simple I/O
2.11 Chess queens challenge puzzle
2.12 Set of answers
2.13 Truth table maker
2.14 DFA parser
2.15 Graph structures and paths
2.16 Search
2.17 Animal identification game
2.18 Clauses as data
2.19 Actions and plans

...

http://www.csupomona.edu/~jrfisher/www/prolog_tutorial/contents.html

CHILL

CHILL

CHILL (Constructive Heuristics Induction for Language Learning) is a general approach to the problem of inducing natural language parsers. Given a suitably annotated corpus, CHILL produces a parser for mapping subsequent sentences into representations. It treats parser induction as the problem of learning rules to control the actions of a shift-reduce parser expressed as a Prolog program. Control rules are induced by utilizing a novel Inductive Logic Programming (ILP) algorithm, namely CHILLIN, that has been developed to handle the issues arising in the natural-language control-rule domain.

...

http://www.cs.utexas.edu/~ml/chill.html

Updates

1. Finished Advanced Computer Graphics 06Apr, 11Apr.

Wednesday, April 12, 2006

Personalized Google

http://www.google.com/ig

How I Work: Bill Gates

Not much of a paper chase for Microsoft's chairman, who uses a range of digital tools to do business.
Bill Gates, chairman and chief software architect, Microsoft, U.S.A.
April 7, 2006: 5:17 PM EDT




NEW YORK (FORTUNE) - It's pretty incredible to look back 30 years to when Microsoft (Research) was starting and realize how work has been transformed. We're finally getting close to what I call the digital workstyle.

If you look at this office, there isn't much paper in it. On my desk I have three screens, synchronized to form a single desktop. I can drag items from one screen to the next. Once you have that large display area, you'll never go back, because it has a direct impact on productivity.

....

http://money.cnn.com/2006/03/30/news/newsmakers/gates_howiwork_fortune/

Back to WING

http://wing.comp.nus.edu.sg/~luwei/blog/

Learning Retrieval Functions from Implicit Feedback



Learning Retrieval Functions from Implicit Feedback



Idea

Our goal is to develop machine learning algorithms that improve retrieval quality using implicit feedback. Examples of implicit feedback are the links a user clicks on in the ranked results, the time a user spends reading a page, or how a user reformulates a query. Such observable behavior gives weak and noisy feedback information about which links the user preferred in the returned ranking. The goal of this research is to utilize this information and learn an improved ranking function. The benefit of using machine learning from unobtrusive feedback is that search engines can adapt to the preferences of user groups, particular users, and the dynamic properties of a particular collection without expert parameter tuning.

...

http://www.cs.cornell.edu/People/tj/career/

Tuesday, April 11, 2006

Update

1. Finished and Submitted Computer Graphics Assignment 3 (coding part).

Sunday, April 09, 2006

Biztech Library


BizTech Library is an important resource for professionals searching for the latest research on business and technology trends in their industry. With ZDNet BizTech Library you gain access to thousands of specialized articles and abstracts. Browse by publication below or search articles above.

http://cma.zdnet.com/texis/techinfobase/techinfobase

Friday, April 07, 2006

Plan for this weekend

1. Start implementing advanced computer graphics homework 3 - subdivision methods.
2. Further implementation of wolfie.
3. Working more on master thesis preparation.

Update

1. Finished Linear Algebra 8, 9 & 10.
Cool: I have finished MIT Professor of Mathematics Strang's Linear Algebra CD 1.

Thursday, April 06, 2006

Update

1. Finished Candidate Generation implementation (draft) for Wolfie.
2. Finisehd Advanced Computer Graphics 23 mar & 4 apr.

Wednesday, April 05, 2006

Fuzzy Image Processing

From University of Waterloo.

http://pami.uwaterloo.ca/tizhoosh/fip.htm

Update

1. Finished Linear Algebra 7.

Tuesday, April 04, 2006

Theories of Child Language Acquisition

Imitation Theory
This theory asserts that children learn by imitating adult speech.

The main problem with this theory is that very young children don't repeat language exactly the same way they hear it. Often the child is incapable of precisely imitating adult speech. They may imitate words, but are unable to produce entire sentences beyond their own grammatical ability.

My three-year-old son recently brought me a fire engine with sirens and lights. I told him that he made the room seem like Miami. He questioned: "Your-ami?" I tried to correct him with, "no Connor, Miami." His response was, "Your-ami?" His father soon joined in and said: "Where's Miami?" Connor said it was "Mommy's ami." It soon became "Mine-ami" in the possessive way of the toddler. Later it became "Becky's ami." To this day he hasn't learned the word "Miami."

.....

http://home.cogeco.ca/~monicafitz/theories.htm

W.bloggar is a good desktop blog publishing tool

Unfortunately it does not support Chinese for the moment.

http://wbloggar.com/

Test

This is a test post from w.bloggar.

Update

1. Finished watching SMA5505 17th mar
2. Finished Linear Algebra 4 ,5 & 6
3. Finished advanced computer graphics 16th mar

Monday, April 03, 2006

Today

Finished watching Linear Algebra video 2 & 3.