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» Challenges in Visual Data Analysis
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KDD
2008
ACM
120views Data Mining» more  KDD 2008»
16 years 7 months ago
Entity categorization over large document collections
Extracting entities (such as people, movies) from documents and identifying the categories (such as painter, writer) they belong to enable structured querying and data analysis ov...
Arnd Christian König, Rares Vernica, Venkates...
BMCBI
2010
240views more  BMCBI 2010»
15 years 6 months ago
TAM: A method for enrichment and depletion analysis of a microRNA category in a list of microRNAs
Background: MicroRNAs (miRNAs) are a class of important gene regulators. The number of identified miRNAs has been increasing dramatically in recent years. An emerging major challe...
Ming Lu, Bing Shi, Juan Wang, Qun Cao, Qinghua Cui
BICOB
2010
Springer
15 years 11 months ago
A Grid-Enabled Problem Solving Environment for QTL Analysis in R
We present a grid-enabled problem solving environment (PSE), for multidimensional QTL analysis. The concept of a computational grid has not been fully realized within this and oth...
Mahen Jayawardena, Carl Nettelblad, Salman Zubair ...
BMCBI
2004
150views more  BMCBI 2004»
15 years 6 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
ICCV
2009
IEEE
16 years 11 months ago
Adaptive Fragments-Based Tracking of Non-Rigid Objects Using Level Sets
We present an approach to visual tracking based on dividing a target into multiple regions, or fragments. The target is represented by a Gaussian mixture model in a joint feature...
Prakash Chockalingam, Nalin Pradeep