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» Boosting Object Detection Using Feature Selection
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EMMCVPR
2011
Springer
14 years 2 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 ...
IWMM
2004
Springer
98views Hardware» more  IWMM 2004»
15 years 7 months ago
Dynamic object sampling for pretenuring
Many state-of-the-art garbage collectors are generational, collecting the young nursery objects more frequently than old objects. These collectors perform well because young objec...
Maria Jump, Stephen M. Blackburn, Kathryn S. McKin...
ICCV
2001
IEEE
16 years 4 months ago
Color Constancy Using KL-Divergence
Color is a useful feature for machine vision tasks. However, its effectiveness is often limited by the fact that the measured pixel values in a scene are influenced by both object...
Charles R. Rosenberg, Martial Hebert, Sebastian Th...
CORR
2010
Springer
110views Education» more  CORR 2010»
15 years 2 months ago
Improving Term Extraction Using Particle Swarm Optimization Techniques
: Problem statement: Term extraction is one of the layers in the ontology development process which has the task to extract all the terms contained in the input document automatica...
Mohammad Syafrullah, Naomie Salim
ARVLSI
1999
IEEE
162views VLSI» more  ARVLSI 1999»
15 years 6 months ago
Conjunction Search Using a 1-D, Analog VLSI-based, Attentional Search/Tracking Chip
The ability of animals to select a limited region of sensory space for scrutiny is an important factor in dealing with cluttered or complex sensory environments. Such an attention...
Timothy K. Horiuchi, Ernst Niebur