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» Incremental Algorithms for Hierarchical Classification
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IVC
2002
148views more  IVC 2002»
13 years 6 months ago
Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models'
A system for the tracking and classification of livestock movements is presented. The combined `tracker-classifier' scheme is based on a variant of Isard and Blakes `Condensa...
Derek R. Magee, Roger D. Boyle
KDD
2002
ACM
194views Data Mining» more  KDD 2002»
14 years 7 months ago
Scale Space Exploration For Mining Image Information Content
Images are highly complex multidimensional signals, with rich and complicated information content. For this reason they are difficult to analyze through a unique automated approach...
Mariana Ciucu, Patrick Héas, Mihai Datcu, J...
MM
2006
ACM
203views Multimedia» more  MM 2006»
14 years 20 days ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
ICML
2000
IEEE
14 years 7 months ago
Constructive Feature Learning and the Development of Visual Expertise
We present a framework for learning features for visual discrimination. The learning system is exposed to a sequence of training images. Whenever it fails to recognize a visual co...
Justus H. Piater, Roderic A. Grupen
ACSC
2003
IEEE
14 years 6 hour ago
A Comparative Study for Domain Ontology Guided Feature Extraction
We introduced a novel method employing a hierarchical domain ontology structure to extract features representing documents in our previous publication (Wang 2002). All raw words i...
Bill B. Wang, Robert I. McKay, Hussein A. Abbass, ...