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ECCV
2004
Springer
15 years 11 months ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
15 years 4 months ago
Supervised Inductive Learning with Lotka-Volterra Derived Models
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar
AAAI
2010
14 years 11 months ago
Online Learning of Uneven Terrain for Humanoid Bipedal Walking
We present a novel method to control a biped humanoid robot to walk on unknown inclined terrains, using an online learning algorithm to estimate in real-time the local terrain fro...
Seung-Joon Yi, Byoung-Tak Zhang, Daniel D. Lee
CVPR
2012
IEEE
12 years 12 months ago
Beyond spatial pyramids: Receptive field learning for pooled image features
In this paper we examine the effect of receptive field designs on classification accuracy in the commonly adopted pipeline of image classification. While existing algorithms us...
Yangqing Jia, Chang Huang, Trevor Darrell
IROS
2006
IEEE
274views Robotics» more  IROS 2006»
15 years 3 months ago
Adaptive Scale Robust Segmentation for 2D Laser Scanner
Abstract— This paper presents a robust algorithm for segmentation and line detection in 2D range scans. The described method exploits the multimodal probability density function ...
Ruben Martinez-Cantin, José A. Castellanos,...