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» Algorithms and Data Structures for Computer Topology
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EMMCVPR
2011
Springer
12 years 8 months ago
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study
The recently proposed ImageNet dataset consists of several million images, each annotated with a single object category. However, these annotations may be imperfect, in the sense t...
Julian John McAuley, Arnau Ramisa, Tibério ...
ADC
2003
Springer
182views Database» more  ADC 2003»
14 years 2 months ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan
DAC
1999
ACM
14 years 1 months ago
Using Lower Bounds During Dynamic BDD Minimization
Ordered Binary Decision Diagrams BDDs are a data structure for representation and manipulation of Boolean functions often applied in VLSI CAD. The choice of the variable orderin...
Rolf Drechsler, Wolfgang Günther
CVPR
1997
IEEE
14 years 11 months ago
Representation Of Objects In A Volumetric Frequency Domain With Application To Face Recognition
A novel method for representing 3-D objects that unifies viewer and model centered object representations is presented. A unified 3-D frequency-domain representation (called Volum...
Jezekiel Ben-Arie, Dibyendu Nandy
ECCV
2004
Springer
14 years 11 months ago
Image and Video Segmentation by Anisotropic Kernel Mean Shift
Mean shift is a nonparametric estimator of density which has been applied to image and video segmentation. Traditional mean shift based segmentation uses a radially symmetric kerne...
Jue Wang, Bo Thiesson, Yingqing Xu, Michael F. Coh...