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» On K-Means Cluster Preservation Using Quantization Schemes
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EUROMICRO
2000
IEEE
13 years 12 months ago
Efficient Image Compression of Medical Images Using the Wavelet Transform and Fuzzy c-means Clustering on Regions of Interest
This paper suggests a novel image compression scheme, using the discrete wavelet transformation (DWT) and the fuzzy c-means clustering technique. The goal is to achieve higher com...
Dimitris A. Karras, S. A. Karkanis, Dimitrios E. M...
IDEAL
2004
Springer
14 years 25 days ago
Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
Swapna Sarvesvaran, Hujun Yin
EDBT
2008
ACM
112views Database» more  EDBT 2008»
14 years 7 months ago
Ownership protection of shape datasets with geodesic distance preservation
Protection of one's intellectual property is a topic with important technological and legal facets. The significance of this issue is amplified nowadays due to the ease of da...
Michail Vlachos, Claudio Lucchese, Deepak Rajan, P...
ICIP
2005
IEEE
14 years 9 months ago
An adaptive DCT-based Mod-4 steganographic method
This paper presents a novel Mod-4 steganographic method in discrete cosine transform (DCT) domain. A group of 2?2 quantized DCT coefficients (GQC) is selected as the valid embeddi...
Xiaojun Qi, KokSheik Wong
ISM
2008
IEEE
161views Multimedia» more  ISM 2008»
14 years 1 months ago
Deblocking of Block-Transform Compressed Images Using Phase-Adaptive Shifted Thresholding
Many popular image compression schemes are based on block-transform coding, a technique where images are broken into small blocks of pixels prior to transformation and compression...
Alexander Wong, William Bishop