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» Model order selection for bio-molecular data clustering
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WACV
2005
IEEE
15 years 11 months ago
Semi-Supervised Self-Training of Object Detection Models
The construction of appearance-based object detection systems is time-consuming and difficult because a large number of training examples must be collected and manually labeled i...
Chuck Rosenberg, Martial Hebert, Henry Schneiderma...
186
Voted
BMCBI
2010
125views more  BMCBI 2010»
15 years 6 months ago
Haplotype allelic classes for detecting ongoing positive selection
Background: Natural selection eliminates detrimental and favors advantageous phenotypes. This process leaves characteristic signatures in underlying genomic segments that can be r...
Julie Hussin, Philippe Nadeau, Jean-Françoi...
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
16 years 6 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
15 years 9 months ago
Accuracy Estimation With Clustered Dataset
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
Ricco Rakotomalala, Jean-Hugues Chauchat, Fran&cce...
ICANN
2010
Springer
15 years 7 months ago
A Directional Laplacian Density for Underdetermined Audio Source Separation
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...
Nikolaos Mitianoudis