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CCS
2009
ACM
15 years 11 months ago
A framework for quantitative security analysis of machine learning
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Pavel Laskov, Marius Kloft
IV
2009
IEEE
149views Visualization» more  IV 2009»
15 years 11 months ago
Beyond Knowledge Visualization Usability: Toward a Better Understanding of Business Diagram Adoption
Information visualization research typically focuses on the formal aspects of specific graphic solutions in terms of their thinking and/or communication support. This type of anal...
Sabrina Bresciani, Martin J. Eppler
161
Voted
ACCV
2009
Springer
15 years 11 months ago
Natural Image Segmentation with Adaptive Texture and Boundary Encoding
We present a novel algorithm for unsupervised segmentation of natural images that harnesses the principle of minimum description length (MDL). Our method is based on observations ...
Shankar Rao, Hossein Mobahi, Allen Y. Yang, Shanka...
140
Voted
CAIP
2009
Springer
143views Image Analysis» more  CAIP 2009»
15 years 11 months ago
Finding Intrinsic and Extrinsic Viewing Parameters from a Single Realist Painting
In this paper we studied the geometry of a three-dimensional tableau from a single realist painting – Scott Fraser’s Three way vanitas (2006). The tableau contains a carefully ...
Tadeusz Jordan, David G. Stork, Wai L. Khoo, Zhiga...
CIKM
2009
Springer
15 years 11 months ago
Combining labeled and unlabeled data with word-class distribution learning
We describe a novel simple and highly scalable semi-supervised method called Word-Class Distribution Learning (WCDL), and apply it the task of information extraction (IE) by utili...
Yanjun Qi, Ronan Collobert, Pavel Kuksa, Koray Kav...
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