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» Embedded Unsupervised Feature Selection
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WWW
2004
ACM
14 years 10 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
BMCBI
2008
138views more  BMCBI 2008»
13 years 10 months ago
Comparative analyses of bidirectional promoters in vertebrates
Background: Orthologous genes with deep phylogenetic histories are likely to retain similar regulatory features. In this report we utilize orthology assignments for pairs of genes...
Mary Qu Yang, James Taylor, Laura Elnitski
PRL
2010
158views more  PRL 2010»
13 years 8 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain
ICIP
2007
IEEE
14 years 1 months ago
Computer-Aided Grading of Neuroblastic Differentiation: Multi-Resolution and Multi-Classifier Approach
In this paper, the development of a computer-aided system for the classification of grade of neuroblastic differentiation is presented. This automated process is carried out withi...
Jun Kong, Olcay Sertel, Hiroyuki Shimada, Kim L. B...
DAGSTUHL
2004
13 years 11 months ago
Simplicity Considered Fundamental to Design for Predictability
Complexity is the core problem of contemporary information technology, as the "artificial complicatedness" of its artefacts is exploding. Intellectually easy and economic...
Wolfgang A. Halang