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Event(s) on February 2009
- 9/2/2009
| 題目: |
Limited alphabet least squares problems in wireless communication |
| 講員: |
Prof. Chun, Joohwan , Scientific Computing Laboratory, Department of Electrical Engineering,, Korea Advance Institute of Science and Technology (KAIST) , Korea |
| 時間/地點: |
11:30 - 12:30
FSC1217, Fong Shu Chuen Library, HSH Campus, Hong Kong Baptist University
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| 摘要: |
In modern wireless communication systems, multiple antennas are
used in the transmitter as well as in the receiver to increase
the data rate of communication. For such multiple input and multiple
output (MIMO) communication systems, we seek the limited alphabet
least squares solution of a complex linear system of equations.
Although this problem is well-known to be NP-hard, several heuristic
algorithms such as the ‘zero-forcing method’, ‘minimum-mean
squares error method’, ‘V-Blast method’, ‘sphere decoding
and its variations’ exist. Furthermore, preconditioning techniques
such as the ‘lattice reduction method’ or ‘vector perturbation
method’ can be applied either at the transmitter or receiver
to improve the conditioning of the system of linear equations.
In this talk, we shall review those techniques and address future
possible research topics in this field.
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- 10/2/2009
| 題目: |
A supersymmetric Sawada-Kotera equation |
| 講員: |
Prof. Liu Qing Ping , Department of Mathematics, , China University of Mining and Technology (Beijing), China |
| 時間/地點: |
11:30 - 12:30
FSC1217, Fong Shu Chuen Library, HSH Campus, Hong Kong Baptist University
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| 摘要: |
In this talk, first the speaker will introduce certain basic facts
of
soliton theory and supersymmetric integrable equations. Then
the speaker will
present a supersymmetric analogue for the so-called Sawada-Kotera
equation and establish its integrability.
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- 16/2/2009
| 題目: |
從笛卡爾到龐加萊 —— 法國數學的人文主義傳統 |
| 講員: |
Prof. Cai Tianxin (蔡天新), Department of Mathematics, Zhejiang University, China |
| 時間/地點: |
11:30 - 12:30
FSC1217, Fong Shu Chuen Library, HSH Campus, Hong Kong Baptist University
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| 摘要: |
Professor Cai is a professor of mathematics at Zhejiang University.
He is also considered to be one of the most active young Chinese
avant-garde authors with many publications on mathematics culture.
蔡天新,1963年出生於浙江台州,1978年考入山東大學控制理論專業,讀研時轉為數論方向,1987年在潘承洞院士指導下獲博士學位,現為浙江大學數學系教授、博士生導師。既主持數論方向的國家自然科學基金,也主持外國文學方向的國家社會科學基金,新近出版的《數學與人類文明》被列入國家級規劃教材,科學隨筆集《難以企及的人物》也於近年問世。
蔡天新也是一位著名的詩人和作家,有多首(篇)作品入選《中學語文》和《大學語文》新讀本,曾擔任安高詩歌獎、中國博客網大賽、日本世界俳句大賽、瑞士「中國藝術專案」的評委,他的作品被譯成英、西、法、意、德和日、韓、阿拉伯語、波斯語,世界語等18種文字,有7種外版書籍面世,先後有20次應邀參加五大洲國際詩歌節和文學節,包括香港國際文學節,並在巴黎,康橋等城市舉辦個人朗誦會。
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- 17/2/2009
| 題目: |
Analysis and synthesis of turbulent dynamic textures |
| 講員: |
Prof. Gabriel Peyre, CNRS and Ceremade, Universite Paris-Dauphine, France |
| 時間/地點: |
11:30 - 12:30
FSC1217, Fong Shu Chuen Library, HSH Campus, Hong Kong Baptist University
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| 摘要: |
In this talk I will present a new grouplet transform to process
locally parallel textures. This transform is well suited to the
modeling of natural textures. Unlike previous transforms routinely
used for texture analysis, grouplets provide a sparse representation
of directional textures. Indeed, transforms like wavelets or
Gabor fail to compress geometric patterns present in natural
textures. The grouplet transform is implemented with a fast adaptive
algorithm that extracts a geometric flow and filters recursively
the texture along this flow. The resulting transformed coefficients
correspond to the decomposition of the image on a multiscale
tight frame adapted to the image content. The grouplet coefficients
of a geometric texture are both sparse and nearly independent,
which makes this representation suitable for various texture
processing tasks. I will show applications to texture inpainting
and dynamic texture synthesis, which both require the joint optimization
of the geometric flow and the grouplet coefficients.
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- 18/2/2009
| 題目: |
JRIAM PL: Modern Mathematics and Modern Arts |
| 講員: |
Prof. Tianxin Cai, Jhejiang University, China |
| 時間/地點: |
16:30 - 17:30 (Preceded by Reception at 4:00pm)
LT1, Cha Chi-ming Science Tower, HSH Campus, Hong Kong Baptist University
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- 19/2/2009
| 題目: |
Recent developments on green products |
| 講員: |
Prof. Arthur Huang, MINIWIZ Sustainable Energy Dev. Ltd., Taiwan |
| 時間/地點: |
17:00 - 18:00
FSC1217, Fong Shu Chuen Library, HSH Campus, Hong Kong Baptist University
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| 摘要: |
Our company is dedicated to delivering a well-designed green product
at an extremely affordable price, making hi-tech, Green power
attractive and accessible to all. In this talk, we overview the
history of MINIWIZ and some of our environment products¡¦ R&D.
HYmini, miniNOTE, POLLI-BRICK, SOLARBULB, Bicycle Dynamo Hub
Power Converter, and Solar Infrared Door Light. We will share
our experience in carrying out the Far Eastern Group Pavilion
in Taipei Intl. Expo 2010 project. In particular, we hope that
the POLLI-BRICK, which is a recycled polymer architecture brick,
can help initiate some industry-university joint research and
collaboration; in terms of both modeling and numerical simulations.
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- 24/2/2009
| 題目: |
Distinguished CMIV Lecture: Multi-granular Computing-the Key to Image Classification |
| 講員: |
Prof. Bo Zhang, Tsinghua University, China |
| 時間/地點: |
11:30 - 12:30
FSC1217, Fong Shu Chuen Library, HSH Campus, Hong Kong Baptist University
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| 摘要: |
The aim of the talk is to expound the basic principle and characteristic
of multi-granular computing by using image classification as
an example. We will present the theoretical framework of granular
computing and its application to image classification. The theory
is called the quotient-space based theory since we use a set
of quotient spaces as a mathematical model of different grain
size worlds and use the model to analyze the relationship among
different worlds. In image classification, we first discuss the
image representation problem. It's known that an image can be
represented in computers with different granularities from fine
to coarse grain-size such as pixel-based, global features, local
features, etc. Each representation has its own expressiveness
and robustness. But if one representation has good expressiveness
then its robustness always becomes poor. Thus, the better way
is to made use of the representations with different grain-sizes
simultaneously, i.e., by multi-granular computing. Second, by
the experimental results we show that the multi-granular computing
based image classification is superior to the uni-granular one.
Unfortunately, a lot of research works have been dong so far
in image classification but the well-known algorithms, either
based on multi-granular or uni-granular ones, are far from effectiveness.
Therefore, the image classification in computer science is still
an open problem. From neuroscience, many experimental results
show that the information processing in human vision, for example,
the information processing in human's visual cortex, supports
the concept of multi-granular computing. Image classification,
or in general computer vision, should learned something from
those knowledge. It seems that one of future research directions
that we should explore is to take full advantage of the principle
of visual processing in human brain.
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- 27/2/2009
| 題目: |
PL: From Machine Learning to Human Innovation |
| 講員: |
Prof. Edward Chang, Research, Google China |
| 時間/地點: |
16:30 - 17:30 (Preceded by Reception at 16:00.)
WLB203, The Wing Lung Bank Building, Shaw Campus, HKBU
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| 摘要: |
Innovation requires a prepared mind, which is a balance between
ideal and necessity, between exploration and exploiting, and
several other
axes. In this talk, I will use machine learning theories to
illustrate
effective human learning principles, and use learning to contrast
innovation.
A few example algorithms of machine learning are used to explain
how
humancan learn more effectively, and a few examples in art and
literature are
used to illustrate human innovation. The talk will also discuss
Google's
culture of innovation and some of its innovative technologies.
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