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ICDAR
2009
IEEE
15 years 4 months ago
Robust Recognition of Documents by Fusing Results of Word Clusters
The word error rate of any optical character recognition system (OCR) is usually substantially below its component or character error rate. This is especially true of Indic langua...
Venkat Rasagna, Anand Kumar 0002, C. V. Jawahar, R...
ICML
2005
IEEE
15 years 10 months ago
Robust one-class clustering using hybrid global and local search
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
Gunjan Gupta, Joydeep Ghosh
DATE
2009
IEEE
89views Hardware» more  DATE 2009»
15 years 4 months ago
Robust non-preemptive hard real-time scheduling for clustered multicore platforms
—Scheduling task graphs under hard (end-to-end) timing constraints is an extensively studied NP-hard problem of critical importance for predictable software mapping on Multiproce...
Michele Lombardi, Michela Milano, Luca Benini
ECCV
2006
Springer
15 years 11 months ago
Robust Multi-body Motion Tracking Using Commute Time Clustering
Abstract. The presence of noise renders the classical factorization method almost impractical for real-world multi-body motion tracking problems. The main problem stems from the ef...
Huaijun Qiu, Edwin R. Hancock
PR
2007
293views more  PR 2007»
14 years 9 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang