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» Challenges in Visual Data Analysis
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172
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BMCBI
2006
374views more  BMCBI 2006»
15 years 3 months ago
AMDA: an R package for the automated microarray data analysis
Background: Microarrays are routinely used to assess mRNA transcript levels on a genome-wide scale. Large amount of microarray datasets are now available in several databases, and...
Mattia Pelizzola, Norman Pavelka, Maria Foti, Paol...
144
Voted
AAAI
2008
15 years 5 months ago
Unsupervised Categorization (Filtering) of Google Images Based on Visual Consistency
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
Pooyan Fazli, Ara Bedrosian
137
Voted
BMCBI
2008
141views more  BMCBI 2008»
15 years 3 months ago
EzArray: A web-based highly automated Affymetrix expression array data management and analysis system
Background: Though microarray experiments are very popular in life science research, managing and analyzing microarray data are still challenging tasks for many biologists. Most m...
Yuerong Zhu, Yuelin Zhu, Wei Xu
152
Voted
CVPR
2009
IEEE
15 years 7 months ago
Efficiently training a better visual detector with sparse eigenvectors
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...
98
Voted
DEXAW
2003
IEEE
131views Database» more  DEXAW 2003»
15 years 8 months ago
Having a BLAST: Analyzing Gene Sequence Data with BlastQuest
An essential problem for biologists is the processing and evaluation of BLAST results. We advocate the deployment of database technology and describe a userdriven tool, called Bla...
William G. Farmerie, Joachim Hammer, Li Liu, Marku...