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CVPR
2008
IEEE
16 years 8 months ago
A mixed generative-discriminative framework for pedestrian classification
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
Markus Enzweiler, Dariu M. Gavrila
ECCV
2008
Springer
16 years 8 months ago
Determining Patch Saliency Using Low-Level Context
The increased use of context for high level reasoning has been popular in recent works to increase recognition accuracy. In this paper, we consider an orthogonal application of con...
Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
SIGSOFT
2005
ACM
16 years 7 months ago
Performance data collection using a hybrid approach
Performance profiling consists of monitoring a software system during execution and then analyzing the obtained data. There are two ways to collect profiling data: event tracing t...
Edu Metz, Raimondas Lencevicius, Teofilo F. Gonzal...
COLT
2007
Springer
16 years 24 days ago
Minimax Bounds for Active Learning
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Rui Castro, Robert D. Nowak
ISRR
2005
Springer
99views Robotics» more  ISRR 2005»
16 years 3 days ago
On the Probabilistic Foundations of Probabilistic Roadmap Planning
Why is probabilistic roadmap (PRM) planning probabilistic? How does the probability measure used for sampling a robot’s configuration space affect the performance of a PRM plan...
David Hsu, Jean-Claude Latombe, Hanna Kurniawati