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» Object detection at multiple scales improves accuracy
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BMCBI
2006
139views more  BMCBI 2006»
13 years 5 months ago
Improvement in accuracy of multiple sequence alignment using novel group-to-group sequence alignment algorithm with piecewise li
Background: Multiple sequence alignment (MSA) is a useful tool in bioinformatics. Although many MSA algorithms have been developed, there is still room for improvement in accuracy...
Shinsuke Yamada, Osamu Gotoh, Hayato Yamana
ICPR
2010
IEEE
13 years 3 months ago
Improving Classification Accuracy by Comparing Local Features through Canonical Correlations
Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...
Mert Dikmen, Thomas S. Huang
ICPR
2010
IEEE
13 years 11 months ago
Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios
Shadow detection and removal is an important step employed after foreground detection, in order to improve the segmentation of objects for tracking. Methods reported in the litera...
Andres Sanin, Conrad Sanderson, Brian Carrington L...
ICIP
2010
IEEE
13 years 3 months ago
Robust object detection scheme using feature selection
Feature selection is an important issue for object detection. In this paper, we propose an effective wrapper-based feature selection scheme using Binary Particle Swarm Optimizatio...
Hong Pan, Liang-Zheng Xia, Truong Q. Nguyen
ICRA
2010
IEEE
104views Robotics» more  ICRA 2010»
13 years 4 months ago
Multi-camera object detection for robotics
— Robust object detection is a critical skill for robotic applications in complex environments like homes and offices. In this paper we propose a method for using multiple camer...
Adam Coates, Andrew Y. Ng