281 search results - page 17 / 57 » Group-based learning: a boosting approach |
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
Robust vehicle detection is a challenging task given vehicles with different types, and sizes, and at different distances. This paper proposes a Boosted Gabor Features (BGF) appro...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
112
Voted
ACCV
2007
Springer
15 years 1 months ago
2007
Springer
We develop a method that can detect humans in a single image based on a new cascaded structure. In our approach, both the rectangle features and 1-D edge-orientation features are e...
88
Voted
ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
This paper contributes a new boosting paradigm to achieve detection of events in video. Previous boosting paradigms in vision focus on single frame detection and do not scale to v...
102
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WWW
2011
ACM
14 years 4 months ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...