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» Boosting Object Detection Using Feature Selection
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BMCBI
2005
118views more  BMCBI 2005»
14 years 10 months ago
Feature selection and nearest centroid classification for protein mass spectrometry
Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
Ilya Levner
69
Voted
ICIAR
2004
Springer
15 years 3 months ago
Learning an Information Theoretic Transform for Object Detection
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
Jianzhong Fang, Guoping Qiu
143
Voted
CVPR
2012
IEEE
13 years 1 months ago
Contextual Boost for Pedestrian Detection
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...
Yuanyuan Ding, Jing Xiao
77
Voted
CVPR
2004
IEEE
16 years 7 days ago
Asymmetrically Boosted HMM for Speech Reading
Speech reading, also known as lip reading, is aimed at extracting visual cues of lip and facial movements to aid in recognition of speech. The main hurdle for speech reading is th...
Pei Yin, Irfan A. Essa, James M. Rehg
99
Voted
ICRA
2010
IEEE
211views Robotics» more  ICRA 2010»
14 years 8 months ago
A saliency-based approach to boost trail detection
— This paper presents a saliency-based solution to boost trail detection. The proposed model builds on the empirical observation that trails are usually conspicuous structures in...
Pedro Santana, Nelson Alves, Luís Correia, ...