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» Fast and Accurate Business Process Drift Detection
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ICIP
2010
IEEE
13 years 3 months ago
Fast object detection using boosted co-occurrence histograms of oriented gradients
Co-occurrence histograms of oriented gradients (CoHOG) are powerful descriptors in object detection. In this paper, we propose to utilize a very large pool of CoHOG features with ...
Haoyu Ren, Cher-Keng Heng, Wei Zheng, Luhong Liang...
SAC
2005
ACM
13 years 11 months ago
Learning decision trees from dynamic data streams
: This paper presents a system for induction of forest of functional trees from data streams able to detect concept drift. The Ultra Fast Forest of Trees (UFFT) is an incremental a...
João Gama, Pedro Medas, Pedro Pereira Rodri...
DICTA
2003
13 years 7 months ago
Fast Circle Detection Using Gradient Pair Vectors
The Circle Hough Transform (CHT) has become a common method for circle detection in numerous image processing applications. Because of its drawbacks, various modifications to the b...
Ali Ajdari Rad, Karim Faez, Navid Qaragozlou
ICPR
2010
IEEE
13 years 8 months ago
Fast Seamless Skew and Orientation Detection in Document Images
Reliable and generic methods for skew detection are a necessity for any large-scale digitization projects. As one of the first processing steps, skew detection and correction has...
Iuliu Vasile Konya, Stefan Eickeler, Christoph Sei...
DAGM
2010
Springer
13 years 6 months ago
On-Line Multi-view Forests for Tracking
Abstract. A successful approach to tracking is to on-line learn discriminative classifiers for the target objects. Although these trackingby-detection approaches are usually fast a...
Christian Leistner, Martin Godec, Amir Saffari, Ho...