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» Multi-label SVM active learning for image classification
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ICRA
2010
IEEE
186views Robotics» more  ICRA 2010»
13 years 3 months ago
Multi-class batch-mode active learning for image classification
Accurate image classification is crucial in many robotics and surveillance applications
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...
EVOW
2007
Springer
13 years 9 months ago
Classification of Cell Fates with Support Vector Machine Learning
In human mesenchymal stem cells the envelope surrounding the nucleus, as visualized by the nuclear lamina, has a round and flat shape. The lamina structure is considerably deformed...
Ofer M. Shir, Vered Raz, Roeland W. Dirks, Thomas ...
FGR
2006
IEEE
147views Biometrics» more  FGR 2006»
13 years 9 months ago
Cascaded Classification of Gender and Facial Expression using Active Appearance Models
This paper presents an approach to recognising the gender and expression of face images by means of Active Appearance Models (AAM). Features extracted by a trained AAM are used to...
Yunus Saatci, Christopher Town
KDD
2005
ACM
143views Data Mining» more  KDD 2005»
14 years 5 months ago
SVM selective sampling for ranking with application to data retrieval
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Hwanjo Yu
NIPS
2001
13 years 6 months ago
Categorization by Learning and Combining Object Parts
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...