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» Evaluating learning algorithms and classifiers
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ICDM
2008
IEEE
145views Data Mining» more  ICDM 2008»
14 years 3 months ago
Paired Learners for Concept Drift
To cope with concept drift, we paired a stable online learner with a reactive one. A stable learner predicts based on all of its experience, whereas a reactive learner predicts ba...
Stephen H. Bach, Marcus A. Maloof
ICDM
2008
IEEE
182views Data Mining» more  ICDM 2008»
14 years 3 months ago
Multiple-Instance Regression with Structured Data
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
Kiri L. Wagstaff, Terran Lane, Alex Roper
AMFG
2007
IEEE
315views Biometrics» more  AMFG 2007»
14 years 3 months ago
Structured Ordinal Features for Appearance-Based Object Representation
In this paper, we propose a novel appearance-based representation, called Structured Ordinal Feature (SOF). SOF is a binary string encoded by combining eight ordinal blocks in a ci...
ShengCai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan...
CVPR
2007
IEEE
14 years 3 months ago
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
Qian Yu, Gérard G. Medioni, Isaac Cohen
FUZZIEEE
2007
IEEE
14 years 3 months ago
Soft Target Based Obstacle Avoidance for Car-like Mobile Robot in Dynamic Environment
— The real time flexible operation of a car-like mobile robot with nonholonomic constraints in dynamic environment is still a very challenging problem. The difficulty lies in t...
Yougen Chen, Seiji Yasunobu