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» Genetic Algorithms for Ambiguous Labelling Problems
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CVPR
2010
IEEE
13 years 6 months ago
Rapid and accurate developmental stage recognition of C. elegans from high-throughput image data
We present a hierarchical principle for object recognition and its application to automatically classify developmental stages of C. elegans animals from a population of mixed stag...
Amelia White, Huey-Ling Kao, Patricia Cipriani, Br...
BMCBI
2005
106views more  BMCBI 2005»
13 years 7 months ago
Thesaurus-based disambiguation of gene symbols
Background: Massive text mining of the biological literature holds great promise of relating disparate information and discovering new knowledge. However, disambiguation of gene s...
Bob J. A. Schijvenaars, Barend Mons, Marc Weeber, ...
TKDE
2010
182views more  TKDE 2010»
13 years 5 months ago
MILD: Multiple-Instance Learning via Disambiguation
In multiple-instance learning (MIL), an individual example is called an instance and a bag contains a single or multiple instances. The class labels available in the training set ...
Wu-Jun Li, Dit-Yan Yeung
WACV
2005
IEEE
14 years 1 months ago
Measures of Similarity
Quantitative evaluation and comparison of image segmentation algorithms is now feasible owing to the recent availability of collections of hand-labeled images. However, little att...
Ranjith Unnikrishnan, Martial Hebert
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 10 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich