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PRL
2007
166views more  PRL 2007»
13 years 7 months ago
Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
Sergio Escalera, Oriol Pujol, Petia Radeva
ICVS
2009
Springer
14 years 2 months ago
White-Box Evaluation of Computer Vision Algorithms through Explicit Decision-Making
Traditionally computer vision and pattern recognition algorithms are evaluated by measuring differences between final interpretations and ground truth. These black-box evaluations ...
Richard Zanibbi, Dorothea Blostein, James R. Cordy
IJCNLP
2005
Springer
14 years 1 months ago
Detecting Article Errors Based on the Mass Count Distinction
Abstract. This paper proposes a method for detecting errors concerning article usage and singular/plural usage based on the mass count distinction. Although the mass count distinct...
Ryo Nagata, Takahiro Wakana, Fumito Masui, Atsuo K...
ESEM
2009
ACM
14 years 2 months ago
Scope error detection and handling concerning software estimation models
Over the last 25+ years, the software community has been searching for the best models for estimating variables of interest (e.g., cost, defects, and fault proneness). However, li...
Salvatore Alessandro Sarcià, Victor R. Basi...
ISBI
2007
IEEE
14 years 2 months ago
Efficient Use of Cerebral Cortical Thickness to Correct Brain Mr Segmentation
Efficient, automatic and robust tools for measurement of cerebral cortical thickness would aid diagnosis and longitudinal studies of neurodegenerative disorders. In this work, we...
Thanh-Mai Diep, Pierrick Bourgeat, Sébastie...