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ICRA
2010
IEEE
211views Robotics» more  ICRA 2010»
13 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, ...
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 2 months ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
IPPS
2005
IEEE
14 years 3 months ago
An Empirical Study On the Vectorization of Multimedia Applications for Multimedia Extensions
Multimedia extensions (MME) are architectural extensions to general-purpose processors to boost the performance of multimedia workloads. Today, in-line assembly code, intrinsic fu...
Gang Ren, Peng Wu, David A. Padua
COLT
2008
Springer
13 years 11 months ago
On the Margin Explanation of Boosting Algorithms
Much attention has been paid to the theoretical explanation of the empirical success of AdaBoost. The most influential work is the margin theory, which is essentially an upper bou...
Liwei Wang, Masashi Sugiyama, Cheng Yang, Zhi-Hua ...
ECCV
2004
Springer
14 years 11 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...