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» Learning Models for Object Recognition
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KDD
2010
ACM
287views Data Mining» more  KDD 2010»
15 years 3 months ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu
ICMCS
2005
IEEE
246views Multimedia» more  ICMCS 2005»
15 years 7 months ago
A SOM-wavelet networks for face identification
This paper describes a novel SOM-Wavelet Networks method for face recognition. We employed a SOM algorithm, which is based on the structure of a biological model, to extract shape...
Yang Zhi, Gu Ming
GBRPR
2007
Springer
15 years 5 months ago
Image Classification Using Marginalized Kernels for Graphs
We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized kernels to image process...
Emanuel Aldea, Jamal Atif, Isabelle Bloch
ICASSP
2010
IEEE
15 years 2 months ago
Action change detection in video by covariance matching of silhouette tunnels
Action recognition is an important but challenging problem in video analytics with a number of solutions proposed to date. However, even if a reliable model for action representat...
Kai Guo, Prakash Ishwar, Janusz Konrad
MEDINFO
2007
139views Healthcare» more  MEDINFO 2007»
15 years 3 months ago
Lessons Learned from Cross-Validating Alignments between Large Anatomical Ontologies
Objectives: To compare the alignments of two large anatomical ontologies (the Foundational Model of Anatomy and GALEN) produced by three ontology alignment systems (AOAS, FALCON a...
Songmao Zhang, Olivier Bodenreider