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» Feature Hierarchies for Object Classification
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ICIP
1997
IEEE
14 years 9 months ago
Wavelet features for statistical object localization without segmentation
This paper describes a new technique for statistical 3{D object localization. Local feature vectors are extracted for all image positions, in contrast to segmentation in classical...
Heinrich Niemann, Josef Pösl
ICML
2005
IEEE
14 years 8 months ago
Hierarchical Dirichlet model for document classification
The proliferation of text documents on the web as well as within institutions necessitates their convenient organization to enable efficient retrieval of information. Although tex...
Sriharsha Veeramachaneni, Diego Sona, Paolo Avesan...
ACSC
2003
IEEE
14 years 21 days 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, ...
IJCV
2008
241views more  IJCV 2008»
13 years 7 months ago
Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
Jim Mutch, David G. Lowe
KYOTODL
2000
51views more  KYOTODL 2000»
13 years 8 months ago
Self-Maintained Folder Hierarchies as Document Repositories
This paper presents a novel approach for the management of large collections of electronic documents. The major technical contribution of our approach is the seamless integration ...
Johann Eder, Alexander Krumpholz, Alexandros Bilir...