 |
|
Event(s) on February 2007
- 1/2/2007
| 題目: |
Centre for Mathematical Imaging and Vision (CMIV) Lecture Series Lecture 2: Projecting onto a Polytope Simplifies Data Distributions: Theory and Some Applications |
| 講員: |
Prof. Francois Malgouyres, Laboratoire Analyse, Gomtrie et Applications, Universiti Paris 13, France |
| 時間/地點: |
14:00 - 15:00
FSC 1217
|
| | |
- 2/2/2007
| 題目: |
Centre for Mathematical Imaging and Vision (CMIV) Lecture Series Lecture 3: Primal-dual Implementation of the Basis Pursuit Algorithm |
| 講員: |
Prof. Francois Malgouyres, Laboratoire Analyse, Gomtrie et Applications, Universiti Paris 13, France |
| 時間/地點: |
14:00 - 15:00
FSC 1217
|
| | |
- 6/2/2007
| 題目: |
Optimal Shrinkage Estimation of Variances with Applications to Microarray Data Analysis |
| 講員: |
Prof. Yuedong Wang, Department of Statistics and Applied Probability, University of California - Santa Barbara, USA |
| 時間/地點: |
11:30 - 12:30
FSC 1217
|
| | |
| 摘要: |
Microarray technology allows a scientist to study genome-wide
patterns of gene expression. Thousands of individual genes
are
measured with relatively little replication which poses challenges
to traditional statistical methods. In particular,the gene-specific
estimates of variances are not reliable and gene-by-gene tests
have low power. We propose a family of shrinkage estimators
for
variances raised to a fixed power. We derive optimal shrinkage
parameters under both Stein and the squared loss functions.
Our
results show that the standard sample variance is inadmissible
under both loss functions. We conduct simulations to evaluate
performance of the optimal shrinkage estimators and compare
them
with some existing methods. We construct F statistics using
these
shrinkage variance estimators and apply them to detect
differentially expressed genes in a microarray experiment.
We also conduct simulations to evaluate performance
of these F statistics and compare them with some existing methods.
|
- 9/2/2007
| 題目: |
CMIV Lecture Series: Optimization for Image Processing (Lecture 1) |
| 講員: |
Prof. Mila Nikolova, CMLA ENS de Cachan, France |
| 時間/地點: |
14:30 - 16:30
FSC 1217
|
| | |
- 27/2/2007
| 題目: |
CMIV Lecture Series: Optimization for Image Processing (Lecture 2) |
| 講員: |
Prof. Mila Nikolova, CMLA ENS de Cachan, France |
| 時間/地點: |
14:30 - 16:30
FSC 1217
|
| | |
- 28/2/2007
| 題目: |
Enhanced Snake Algorithm for Noisy Images based on Integrated Region Information |
| 講員: |
Mr. Chi Pan Tam, Department of Mathematics, Hong Kong Baptist University, HKSAR, China |
| 時間/地點: |
14:30 - 15:30
FSC 1217
|
| | |
| 摘要: |
In this paper, an improved parametric active contour is proposed
based on
the techniques of binarization and the utilization of region
information.
Traditional active contour models are mainly based on gradient
information; therefore it may be difficult to find the boundary
of objects
if the image is noisy. Our model makes use of binarization techniques
to
extract region information which is integrated with gradient
information.
This approach can greatly improve the results for noisy images.
We present
various experimental results to demonstrate the performance
of this model
to different types of noisy images. Also, we will show that
it is robust
to change in parameter settings as compared with traditional
snakes.
|
|
|
|
|
