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ECCV
2006
Springer
16 years 2 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker
105
Voted
AINA
2009
IEEE
15 years 7 months ago
JPEG Steganography: A Performance Evaluation of Quantization Tables
The two most important aspects of any imagebased steganographic system are the imperceptibility and the capacity of the stego image. This paper evaluates the performance and effic...
Adel Almohammad, Gheorghita Ghinea, Robert M. Hier...
108
Voted
BMCBI
2010
170views more  BMCBI 2010»
15 years 20 days ago
Integrative analysis of gene expression and copy number alterations using canonical correlation analysis
Background: With the rapid development of new genetic measurement methods, several types of genetic alterations can be quantified in a high-throughput manner. While the initial fo...
Charlotte Soneson, Henrik Lilljebjörn, Thoas ...
100
Voted
BMCBI
2010
116views more  BMCBI 2010»
15 years 20 days ago
FiGS: a filter-based gene selection workbench for microarray data
Background: The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene sel...
Taeho Hwang, Choong-Hyun Sun, Taegyun Yun, Gwan-Su...
181
Voted
CVPR
2001
IEEE
16 years 2 months ago
Rapid Object Detection using a Boosted Cascade of Simple Features
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This wor...
Paul A. Viola, Michael J. Jones